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Responsibilities:<ul><li>Translate business requirements into ERP functional and configuration requirements</li><li>Participate in analyzing customer needs and identifying opportunities for improvement</li><li>Liaise with the R&amp;D department for developing custom solution components when required</li><li>Provide ongoing support to our growing customer base of Pylon ERP software implementations</li><li>Manage testing and documenting of the ERP software configuration</li><li>Perform customer needs analysis and participate in business process solutions design and architecture</li><li>Compose development specifications and interact with customers to test modifications and resolve any issues that may arise</li><li>Be in charge of the completeness and quality of functional design</li><li>Provide user training to customers</li></ul> Requirements:<ul><li>At least 3 - 4 years experience in providing ERP software solution Services</li><li>Experience in Pylon ERP is a considerable plus</li><li>Computer Science or Economics or Finance&nbsp;Degree or equivalent</li><li>Strong presentation, communication (both written &amp; oral) skills</li><li>Strong ability to convey technical information to non-technical customers</li><li>Self - direction, attention to detail &amp; great customer focus</li><li>Excellent command of English, both written and oral</li><li>Preferred knowledge in SQL &amp; Javascript</li></ul> We Offer:<ul><li>Multi-awarded working environment (Fortune’s 100 Best Companies to Work For in Europe 2024,&nbsp;10 Best Workplaces Hellas,&nbsp;4 Best Workplaces Europe, 2 Best Workplaces™ for Women, 2&nbsp;Best Workplace in Technology&nbsp;Awards)</li><li>Competitive remuneration package</li><li>Ongoing training, opportunities &amp; career development</li><li>Private medical insurance</li><li>Psychological support line</li><li>Online personal- training programs</li><li>Free participation in Epsilon Training &amp; Epsilon College educational programs</li><li>Hybrid working model</li></ul>

ERP Consultant Thessaloniki

Epsilon Net, the Largest Group of Business Software in Greece with a full portfolio of specialized services and software solutions, seeking for E-Invoicing Systems Consultant.🧩 About the RoleAs an E-Invoicing Systems Consultant, you will work closely with clients to deliver customized, seamless e-invoicing solutions. You'll help optimize integrations, provide expert guidance, and collaborate to ensure clients get the most out of our platform, all while addressing their unique business needs.⚙️ What You’ll Be Doing<ul><li>Be the go-to expert for our partners and clients, delivering consulting and support for digital invoicing solutions.</li><li>Customize and extend our Commercial Platform’s integration API to align with customer workflows and requirements.</li><li>Guide partners through the implementation journey, from setup to training on our e-Invoicing web applications.</li><li>Work closely with clients to gather requirements, understand their challenges, and recommend smart, effective solutions.</li><li>Collaborate with internal development teams to turn business needs into clear, actionable tasks.</li><li>Troubleshoot both technical and business-related issues.</li></ul>✅What We’re Looking For<ul><li>At least 3 years of experience in a technical support environment.</li><li>BSc in Computer Science or equivalent.</li><li>Advanced experience with XML and JSON files.</li><li>Hands-on experience with APIs, integrations, and digital platforms.</li><li>Solid understanding of e-invoicing systems and related technologies.</li><li>Experience with ERP Systems.</li><li>Strong communication skills—you can translate tech talk into everyday language for clients.</li><li>Excellent command of English, both written and oral.</li></ul>💼What We Offer💰 Competitive salary &amp; benefits package.📚 Ongoing training &amp; career development (Epsilon Training &amp; Epsilon College).🩺 Private medical insurance &amp; psychological support services.💻 Hybrid working model (Athens &amp; Thessaloniki) / Remote for other cities.🏆 Multi-awarded workplace (Fortune’s 100 Best Companies to Work For in Europe 2024, Best Workplace in Technology, Best Workplaces for Women).

E-Invoicing Systems Consultant

Epsilon Net, the Largest Group of Business Software in Greece with a full portfolio of specialized services and software solutions,&nbsp;offers you:Career Growth&nbsp;– Become part of a team that fosters growth, learning, and personal development.Supportive Culture&nbsp;– Achieve greatness in a space that emphasizes cooperation, idea exchange, and a pursuit of excellence.Top Clients &amp; Technology&nbsp;– Join forces with top-tier business professionals and utilize the most innovative Microsoft tools.🟪Your RoleAs a CRM Solutions Consultant, you’ll play a key role in designing and delivering tailored solutions using Microsoft Dynamics 365. You'll collaborate with cross-functional teams and stakeholders to ensure that technology genuinely supports business growth.🟩Your Mission<ul><li>Client Interaction &amp; Requirement Analysis: Collaborate with clients to gather requirements and understand their business needs.</li><li>Configuration &amp; Customization: Design and configure Dynamics 365 solutions to meet client specifications and enhance user experience.</li><li>Project Lifecycle Management: Guide clients through the implementation process from start to finish, ensuring timely delivery and quality outcomes.</li><li>System Testing &amp; Troubleshooting: Perform testing to ensure solutions meet expectations and resolve any issues during implementation.</li><li>Training &amp; Support: Provide client training and ongoing support to ensure smooth use of Dynamics 365.</li><li>Continuous Improvement: Stay updated with Dynamics 365 features and recommend improvements to keep client solutions efficient and current.</li></ul>🟨What You Offer<ul><li>Βachelor’s degree in computer science, Software Engineering, Economics, Business Administration or another related field.</li><li>3+ years of experience with Microsoft Dynamics 365 CRM (Sales, Customer Service, or other modules).</li><li>Strong configuration and customization skills in Dynamics 365, with the ability to implement and optimize CRM solutions.</li><li>Proven experience in gathering client requirements and translating them into effective CRM solutions.</li><li>Solid understanding of CRM processes and workflows, with the ability to analyze and improve business operations.</li><li>Excellent communication skills, able to collaborate with clients and internal teams, and explain technical concepts clearly.</li></ul>🌟A great asset• Prior experience in implementing Microsoft Dynamics D365 CRM• Knowledge of Microsoft Power Platform (Power Apps, Power BI, Power Automate).• Valid Microsoft certifications – advantage🟫What We Offer💰 Competitive salary &amp; benefits package.📚 Ongoing training &amp; career development (Epsilon Training &amp; Epsilon College).🩺 Private medical insurance &amp; psychological support services.💻 Hybrid working model (Athens &amp; Thessaloniki) / Remote for other cities.🏆 Multi-awarded workplace (Fortune’s 100 Best Companies to Work For in Europe 2024, Best Workplace in Technology, Best Workplaces for Women).

CRM Solutions Consultant (Microsoft Dynamics 365)

Ο ρόλος του Συμβούλου Υποστήριξης Εφαρμογών Λογιστικού Γραφείου είναι η διαχείριση και εξυπηρέτηση αιτημάτων που αφορούν στη χρήση των εφαρμογών της Epsilon Net για τα Λογιστικά Γραφεία και τα Λογιστήρια εταιριών. Ο μεγαλύτερος όγκος των αιτημάτων εξυπηρετούνται τόσο τηλεφωνικά, όσο μέσω livechat και των social media, αξιοποιώντας όλα τα σύγχρονα εργαλεία της σύγχρονης εποχής, διασφαλίζοντας ταυτόχρονα την άρτια εξυπηρέτηση και εκπαίδευση των πελατών μας.Η καθημερινότητα του τμήματος μας είναι γεμάτη προκλήσεις, γνώση και συνεργασία. Στόχος μας είναι οι πελάτες μας να απολαμβάνουν πάντα τη βέλτιστη εμπειρία εξυπηρέτησης και παράλληλα όλοι οι άνθρωποι της ομάδας μας να προοδεύουν και να απολαμβάνουν την εργασία τους. Αυτό αποδεικνύεται από τις συνεχείς βραβεύσεις του Τμήματος, όπως, μεταξύ άλλων, διάκριση για την Ποιοτική Εξυπηρέτηση Πελατών αλλά και Καλύτερου Εργασιακού Περιβάλλοντος, αντίστοιχα.Ο ρόλος αποτελεί την αφετηρία μιας λαμπρής πορείας ενδοτμηματικά, ενδοεταιρικά και ενδοομιλικά, καθώς προσφέρει πληθώρα γνώσεων και ευκαιριών για εξέλιξη και πρόοδο!Αν λοιπόν, είσαι φιλόδοξος, έχεις άριστες επικοινωνιακές δεξιότητες και πελατοκεντρική αντίληψη, διαθέτεις ομαδικό πνεύμα και κριτική σκέψη, τότε στείλε μας την αίτησή σου για να αποκτήσεις την εμπειρία της επικοινωνίας με τους καλύτερους εκπροσώπους του Λογιστικού κλάδου και να γίνεις μέλος της ομάδας μας!Απαραίτητα Προσόντα:• Τουλάχιστον 2 έτη προϋπηρεσίας σε λογιστικό γραφείο ή λογιστήριο εταιρίας• Γενικές γνώσεις λογιστικής/ φορολογίας εισοδήματος• Ευχέρεια στο γραπτό και προφορικό λόγο• Πολύ καλή γνώση MS OfficeH εταιρεία προσφέρει:• Πολυβραβευμένο Εργασιακό Περιβάλλον (Fortune’s 100 Best Companies to Work For in Europe 2024, 10 Best Workplaces Hellas, 4 Best Workplaces Europe, 2 Best Workplaces™ for Women, 2 Best Workplace in Technology).• Ανταγωνιστικό πακέτο αποδοχών• Διαρκείς εκπαιδεύσεις και σημαντικές προοπτικές εξέλιξης• Ιδιωτική ιατροφαρμακευτική ασφάλιση• Ψυχολογική γραμμή υποστήριξης• Διαδικτυακά μαθήματα γυμναστικής• Δωρεάν συμμετοχή στα εκπαιδευτικά προγράμματα του Epsilon Training και Epsilοn College• Υβριδικό μοντέλο εργασίας

Σύμβουλος Υποστήριξης Εφαρμογών Λογιστικού Γραφείου Θεσσαλονίκη 

We seek a DevOps Engineer who will support a portfolio of AI platforms and services. You will work alongside senior engineers to implement DevOps best practices, maintain CI/CD pipelines, and help ensure the security, reliability, and scalability of our AI infrastructure. This is an excellent opportunity to grow your career in DevOps while working with cutting-edge AI technologies.&nbsp;&nbsp;ROLE RESPONSIBILITIES&nbsp;&nbsp;The DevOps engineer colleague’s responsibilities include but are not limited to:&nbsp;Infrastructure &amp; Cloud Operations:&nbsp;<ul><li>Support AWS cloud infrastructure using Infrastructure as Code (CloudFormation)&nbsp;</li><li>Work with AWS services including ECS Fargate, Lambda, Step Functions, S3, DynamoDB, and ECR&nbsp;</li><li>Assist in managing multi-environment deployments (dev, test, prod, sandbox)&nbsp;</li><li>Help maintain and monitor cloud resources for performance and cost optimization&nbsp;</li><li>Participate in infrastructure lifecycle activities including patches and upgrades&nbsp;</li></ul>CI/CD &amp; Automation:&nbsp;<ul><li>Maintain and enhance CI/CD pipelines using GitHub Actions&nbsp;</li><li>Support deployment processes for microservices across multiple environments&nbsp;</li><li>Develop automation scripts (Python/Bash) for operational tasks&nbsp;</li><li>Manage Docker container builds and deployments&nbsp;</li><li>Contribute to GitOps practices and infrastructure as code initiatives&nbsp;</li></ul>Security &amp; Compliance:&nbsp;<ul><li>Implement security scanning in CI/CD pipelines (SonarQube, Snyk)&nbsp;</li><li>Help manage secrets and credentials using AWS Secrets Manager&nbsp;</li><li>Support compliance with enterprise security policies and tagging standards&nbsp;</li><li>Respond to security vulnerabilities and incidents under guidance&nbsp;</li><li>Participate in security reviews of infrastructure&nbsp;</li></ul>Monitoring &amp; Operations:&nbsp;<ul><li>Set up and maintain monitoring and alerting using Grafana, Dynatrace, and CloudWatch&nbsp;</li><li>Participate in incident response and troubleshooting&nbsp;</li><li>Document operational procedures and runbooks&nbsp;</li><li>Support on-call rotation for production systems&nbsp;</li><li>Help drive continuous improvement initiatives&nbsp;</li></ul>Collaboration:&nbsp;<ul><li>Work with development teams to understand deployment requirements&nbsp;</li><li>Document infrastructure changes and technical procedures&nbsp;</li><li>Participate in technical design discussions&nbsp;</li><li>Share knowledge and learn from senior team members&nbsp;</li></ul>&nbsp;BASIC QUALIFICATIONS&nbsp;&nbsp;<ul><li>Bachelor's degree in Computer Science, Engineering, or related field required&nbsp;</li><li>3-5 years of experience working with cloud platforms, preferably AWS&nbsp;</li><li>Experience with CI/CD pipelines and deployment automation&nbsp;</li><li>Hands-on experience with Docker and containerization&nbsp;</li><li>Familiarity with AWS services such as:&nbsp;</li><li>Compute: ECS, Lambda, or EC2&nbsp;</li><li>Storage: S3, DynamoDB&nbsp;</li><li>Container: ECR&nbsp;</li><li>Security: IAM, Secrets Manager&nbsp;</li><li>Experience with Infrastructure as Code (CloudFormation or Terraform)&nbsp;</li><li>Working knowledge of Git version control&nbsp;</li><li>Scripting &amp; Programming: Python or Bash scripting experience&nbsp;</li><li>CI/CD Tools: GitHub Actions, Jenkins, or similar&nbsp;</li><li>Monitoring Tools: Experience with CloudWatch, Grafana, Dynatrace, or similar&nbsp;</li><li>Security: Familiarity with security scanning tools&nbsp;</li><li>Operating Systems: Linux/Unix administration skills</li><li>Strong problem-solving and troubleshooting abilities&nbsp;</li><li>Good communication and collaboration skills&nbsp;</li><li>Eagerness to learn new technologies and best practices&nbsp;</li><li>Ability to work both independently and as part of a team&nbsp;</li><li>Attention to detail and commitment to quality&nbsp;</li><li>Self-motivated with good time management&nbsp;</li></ul>

Manager, DevOps Engineer

We are seeking a Senior Manager, DevOps Engineer who will be responsible for supporting a portfolio of AI/ML platforms and services. You will play a critical role in defining and implementing DevOps best practices, building robust CI/CD pipelines, and ensuring the security, reliability, and scalability of our AI infrastructure. Your expertise will help us accelerate the delivery of AI-powered solutions while maintaining the highest standards of operational excellence.&nbsp;&nbsp;ROLE RESPONSIBILITIES&nbsp;&nbsp;The Senior DevOps Engineer's responsibilities include but are not limited to:&nbsp;Infrastructure &amp; Cloud Operations:<ul><li>Design, deploy, and manage AWS cloud infrastructure for AI/ML applications using Infrastructure as Code&nbsp;</li><li>Architect and maintain highly available, fault-tolerant systems using AWS services (ECS Fargate, Lambda, Step Functions, S3, DynamoDB, ECR, etc.)&nbsp;</li><li>Implement auto-scaling strategies and optimize resource utilization for cost efficiency&nbsp;</li><li>Lead lifecycle management activities including upgrades, patches, capacity planning, and infrastructure retirement&nbsp;</li><li>Manage multi-environment deployments (dev, prod) with appropriate isolation and controls&nbsp;</li></ul>CI/CD &amp; Automation:&nbsp;<ul><li>Build and maintain sophisticated CI/CD pipelines using GitHub Actions for containerized microservices&nbsp;</li><li>Automate deployment processes for 50+ microservices across multiple environments&nbsp;</li><li>Implement GitOps practices and promote infrastructure/configuration as code&nbsp;</li><li>Develop automation scripts for operational tasks and deployment workflows&nbsp;</li><li>Manage Docker container builds and ECR repository lifecycle&nbsp;</li></ul>&nbsp;Security &amp; Compliance:&nbsp;<ul><li>Integrate security practices throughout the CI/CD pipeline (shift-left security)&nbsp;</li><li>Implement automated security scanning&nbsp;</li><li>Manage secrets and credentials using AWS Secrets Manager and secure CI/CD practices&nbsp;</li><li>Ensure compliance with enterprise security policies, tagging standards, and industry regulations&nbsp;</li><li>Monitor and respond to security incidents and vulnerabilities in a timely manner&nbsp;</li><li>Conduct security reviews of infrastructure and application architectures&nbsp;</li></ul>Monitoring &amp; Reliability:&nbsp;<ul><li>Implement comprehensive monitoring, logging, and alerting using Grafana, Dynatrace, and CloudWatch&nbsp;</li><li>Establish SLIs, SLOs for critical services&nbsp;</li><li>Participate in incident response, troubleshooting, and post-mortem analysis to identify root causes&nbsp;</li><li>Drive continuous improvement through metrics-driven insights and capacity planning&nbsp;</li><li>Optimize system performance through profiling, benchmarking, and tuning&nbsp;</li></ul>Collaboration &amp; Leadership:&nbsp;<ul><li>Work closely with AI/ML development teams to understand requirements and optimize deployment strategies&nbsp;</li><li>Provide technical guidance and mentorship on DevOps/MLOps best practices&nbsp;</li><li>Document infrastructure, runbooks, standard operating procedures, and architectural decisions&nbsp;</li><li>Contribute to technical design reviews and architectural decision-making&nbsp;</li><li>Foster a culture of automation, reliability, and continuous improvement&nbsp;</li></ul>&nbsp;BASIC QUALIFICATIONS ​&nbsp;<ul><li>BSc degree in Computer Science or Engineering is required. MSc is preferred.&nbsp;</li><li>7+ years of hands-on experience deploying and managing enterprise software solutions in AWS or other cloud environments&nbsp;</li><li>Proven experience building and maintaining production-grade CI/CD pipelines (GitHub Actions, Jenkins, or similar)&nbsp;</li><li>Extensive AWS expertise with services including:&nbsp;</li><li>Compute: ECS Fargate, Lambda, EC2, EKS&nbsp;</li><li>Storage: S3, DynamoDB&nbsp;</li><li>Container: ECR&nbsp;</li><li>Security: IAM, Secrets Manager, KMS&nbsp;</li><li>Deep expertise with Infrastructure as Code using CloudFormation and/or Terraform&nbsp;</li><li>Production experience with Docker containerization and orchestration&nbsp;</li><li>Strong proficiency with Git version control and branching strategies&nbsp;</li><li>Scripting &amp; Programming: Python (required), Bash, strong understanding of software development lifecycle&nbsp;</li><li>Monitoring &amp; Observability: Hands-on experience with Grafana, Dynatrace, CloudWatch, or similar tools&nbsp;</li><li>Security Tools: Experience with SonarQube, Snyk, or similar security scanning tools&nbsp;</li><li>Configuration Management: Experience with automated configuration management approaches&nbsp;</li><li>Performance Optimization: Proven ability in performance testing, profiling, and optimization&nbsp;</li><li>Demonstrated ability to own complex systems end-to-end and manage production deployments&nbsp;</li><li>Strong analytical and troubleshooting skills with systematic problem-solving approach&nbsp;</li></ul>&nbsp;GENERAL SKILLS REQUIREMENTS&nbsp;<ul><li> Excellent communication skills - able to explain technical concepts to diverse audiences&nbsp;</li><li>Experience contributing to technical specifications and design documentation&nbsp;</li><li>Collaborative mindset with ability to work effectively across distributed teams&nbsp;</li><li>Self-motivated with strong bias for action and results&nbsp;</li><li>Commitment to quality, security, and operational excellence&nbsp;</li></ul>

Senior Manager, DevOps Engineer

Reporting to the Sr Manager Data Management Lead of Enterprise Data and Solution Engineering, the&nbsp;UDH Data Quality Lead&nbsp;will&nbsp;build first in class data quality and management practice. Build capabilities that enact trust in data and products, that are critical for building advanced analytic solutions, self-service models and semantic data layer.<ul><li>Directs cross-functional team for Data Quality services in emerging tools.</li><li>Directs the portfolio of technology and implementation plans to modernize the service on cloud, leverage automation, reuse, and continuous improvement to expand into new domains.</li><li>Provides oversight and direction to a cross functional team to the onboarding of new data set and PGS systems on the roadmap.</li><li>Designs and implements quality assurance programs across data repositories.</li><li>Create and manage semantic layer to ensure data quality assessment data is available to Adv. Analytics and in advance visualizations for downstream.</li><li>Lead data standardization efforts where possible setup SLA’s and responsible for key metrics that measure data quality.</li><li>Maintain relationships with all data users, actively driving engagement, adoption and usage – and providing processes, training and support to ensure data quality standards are maintained.</li><li>Oversee data procedures for any errors or defects.</li><li>Enforces all the measures to ensure an asset-oriented view, control and quality assurance of data in a company.</li><li>Analyze data patterns and utilization with a constant eye toward continuous improvement.</li><li>Lead data standardization efforts where possible.</li><li>Establish a strong collaborative culture with peers and other functions across Pfizer Digital.</li><li>Promote a culture of success, pride, performance, discipline, innovation and creativity.</li><li>Build automation and AI driven process to continuously innovate and improve quality.</li><li>Liaison with senior leaders and stakeholders within Pfizer to data and quality standards to meet or exceed business requirements.</li><li>Creates business quality standards.</li><li>Accountable for the development and ongoing leadership of data stewardship protocols to meet requirement of strategic initiatives.</li><li>Analytical and critical thinking. Does not shy away from tough decisions and can articulate complex situations so that decisions can be made.</li><li>Consultative skills. Is able to define and structure vaguely defined problems, and influence stakeholders via effective communication.</li></ul>Basic Qualifications<ul><li>Must have a bachelor’s degree with at five years of relevant experience. </li><li>OR master’s degree with three years of relevant experience. &nbsp;</li><li>OR associate degree with eight years of relevant experience. </li><li>OR Ph.D. with 0+ years of experience. </li><li>Preference for advanced degree holders with a focus in strategy Analytics, Data science, Computer Science, Engineering or equivalent project-related experience</li><li>5+ years of strong multi-discipline experience, with experience in data quality concepts and technologies</li><li>Proficiency in Python, SQL, and familiarity with Java or Scala.</li><li>Strong expertise in developing data pipelines, data APIs and DQ rules</li><li>Over 2 years of experience in AI, machine learning, and large language models (LLMs) development and deployment.</li><li>Knowledge and understanding of data quality tools.</li><li>Demonstrated ability to interact with all levels of the organization in a professional manner.</li><li>Proven skills in working across diverse, cross-functional teams in solving data problems.</li><li>Strong collaboration and communication skills within and across teams.</li><li>Knowledge of analytic tools and platforms, e.g. Tableau, snowflake, Spark, SQL</li><li>Knowledge of Big Data, data science and statistical analysis skills, e.g. R, Python, machine learning, SAS</li><li>Knowledge of relational databases, information architecture, data warehousing and ETL</li><li>Proactively monitors the execution of the digital data governance processes including data quality and publishes the results.</li></ul>Nice-to-Have<ul><li>Master's degree</li><li>Relevant pharmaceutical industry experience</li><li>Experience with Agile Software Delivery and/or Scrum Master Certification</li><li>Knowledge of the pharmaceutical industry, preferably Commercial or sales and marketing</li></ul>&nbsp;

Manager Data Quality Lead

In this role, you will act as the technical engineering lead for data solutions that function as standalone products or reusable platform templates for teams across the enterprise. You will need to balance leading cross-functional teams with hands-on development on the platform and managing stakeholder expectations. You will also be accountable for a team of around 5 colleagues.You may have a software development background, or an engineering background or you were raised in a modern data analytics culture from the start of your career. You will have the ability to work with technology vendors, support resources, delivery partners, Pfizer stakeholders, and apply emerging and traditional technologies for analytics improvements in support of enterprise analytics platform strategy.ROLE RESPONSIBILITIES&nbsp;<ul><li>Design, construct, install, test, and maintain robust and scalable Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) data pipelines to pull data from diverse internal and third-party sources.</li><li>Build and manage enterprise data warehouses and data lakes, ensuring optimal performance and data integrity.</li><li>Implement data platforms utilizing cloud services optimizing data delivery architecture to be highly available and fault-tolerant.</li><li>Develop processes for data monitoring and implement data quality checks to ensure the accuracy, completeness, and reliability of core datasets.</li><li>Optimize existing data systems for improved performance and efficiency, implementing automation where possible.</li><li>Partner with data analysts, data scientists, and software engineers to understand and address data needs, ensuring the infrastructure supports analytical goals.</li><li>Create and maintain documentation for all data pipelines, processes, and infrastructure, adhering to best practices in data engineering.</li><li>Drive strategic reuse and user enablement by:</li><li>Developing and maintaining reusable assets for consistency and scalability.</li><li>Defining standards and best practices in partnership with platform owners.</li><li>Assessing and adopting emerging enterprise platform capabilities.</li><li>Delivering end-to-end data solutions to integrate advanced features into business workflows.</li><li>Creating platform specific proof-of-concepts that demonstrate feasibility and readiness for enterprise utilization.&nbsp;</li><li>Ensuring cross-functional alignment for cohesive data and AI adoption across the organization.</li></ul>&nbsp;BASIC QUALIFICATIONS&nbsp;<ul><li>Bachelor's degree in Computer Science, Statistics, or related field.</li><li>At least 10 years of professional experience.</li><li>At least 5 years engineering or technical role experience, ideally involving a complex and rapidly evolving software/product.</li><li>Proven track record of executive level presentations and ability to effectively communicate to multiple audiences and partners.</li><li>Strong leadership skills with experience mentoring and managing development teams.</li><li>Grit when faced with technical issues&nbsp;- you don't rest until you understand what is happening and why things are not working.</li><li>Excellent problem solving and analytical skills with an aptitude for learning new technologies.</li><li>Excellent verbal and written communication skills.</li><li>and the ability to interface with both technical and non-technical individuals as needed.</li><li>Comfort working with and reading code.</li><li>Proven experience as a Data Engineer or similar role with a strongtrack record of delivering production-level data solutions.</li><li>Expertise in Python and proficiency in SQL. Experience with Java or Scala is a plus.</li><li>Strong experience with data warehouse and lake solutions (Snowflake, Redshift, BigQuery, Databricks) and orchestration tools (Apache Airflow, Prefect).</li><li>Big Data Frameworks:&nbsp;Familiarity with big data processing frameworks like Apache Spark or Kafka.</li><li>Solid understanding of data modeling principles, database design, and data governance concepts.</li><li>Hands-on experience and proficiency with DevOps and information tools – e.g., JIRA, Confluence, SharePoint, Yammer, etc.</li></ul>PREFERRED QUALIFICATIONS<ul><li>Experience with cloud platforms such as AWS, Azure, and GCP.</li><li>Experience with data visualization, data science, machine learning, and/or AI</li><li>Experience with web development&nbsp;</li><li>Agile / SAFE Certification</li></ul>

Director - TL, Data Engineering

As a Sr. Associate,&nbsp;Software&nbsp;Engineer,&nbsp;you will work with senior members of the team to design, implement, and&nbsp;maintain&nbsp;automated systems for infrastructure provisioning, configuration management, and deployment. You will be working&nbsp;to design and build REST APIS, build and support&nbsp;open-source&nbsp;platforms,&nbsp;and&nbsp;maintain&nbsp;build and deploy pipelines that ensure our services&nbsp;remain&nbsp;available and scalable.&nbsp;Ideal candidate has an experience working as a&nbsp;software&nbsp;engineer in a global team structure.&nbsp; This role requires strong collaboration skills, the ability to work independently with a focus on high quality and&nbsp;a strong sense&nbsp;of accountability. The role also requires&nbsp;a strong desire&nbsp;for continuous learning to stay current with the rapidly evolving global technology landscape and significant attention to detail and quality.&nbsp; ROLE RESPONSIBILITIES&nbsp;<ul><li>Design and build REST APIs services in Java to automate manual processes across the organization.&nbsp;</li><li>Collaborate with cross-functional teams to gather&nbsp;technical&nbsp;requirements.&nbsp;</li><li>Work with engineering lead and business owner to&nbsp;optimize&nbsp;and improve&nbsp;how the team delivers automations in the most efficient way possible.&nbsp;</li><li>Work with security team to ensure&nbsp;compliance with security and regulatory requirements in all infrastructure and tooling configurations.&nbsp;</li><li>Collaborate with development teams to&nbsp;identify&nbsp;and implement best practices for continuous integration and deployment.&nbsp;</li><li>Create and&nbsp;maintain&nbsp;documentation related to&nbsp;services,&nbsp;infrastructure, tooling, and configuration processes.&nbsp;</li><li>Stay up to date with the latest industry trends and best practices related to configuration management&nbsp;tools&nbsp;and infrastructure automation.&nbsp;</li></ul>BASIC QUALIFICATIONS&nbsp;<ul><li>Bachelor’s degree in computer science, Engineering, or a related field (or equivalent experience).&nbsp;</li><li>A minimum of 2&nbsp;years of experience working&nbsp;as a&nbsp;software engineering.&nbsp;</li><li>Proven experience working with Java.&nbsp;</li><li>Experience with version control systems (e.g., Git) and CI/CD pipelines.&nbsp;</li><li>Strong problem-solving skills, with the ability to troubleshoot and resolve issues efficiently.&nbsp;</li><li>Excellent communication and collaboration skills,&nbsp;work well as part of a team.&nbsp;</li></ul>PREFERRED QUALIFICATIONS&nbsp;<ul><li>Experience with SpringBoot and/or Quarkus.</li><li>Basic understanding of cloud platforms (e.g., AWS, Azure).&nbsp;</li><li>Experience&nbsp;with containerization technologies (e.g., Docker, Kubernetes) and their integration with infrastructure automation tools.&nbsp;</li><li>Experience&nbsp;with tools such as Terraform and Ansible, is a huge plus.&nbsp;</li><li>Certification in relevant technologies (e.g., AWS&nbsp;Cloud Practitioner, Terraform Certified Associate).&nbsp;&nbsp;</li></ul>

Sr. Associate, Software Engineer

JOB SUMMARY<ul><li>This internship role is a hands-on statistical data scientist supporting study and asset teams with statistical data sciences and analytics deliverables.</li><li>Ensures excellence in the delivery of analysis ready datasets, analysis results and displays and qc work for which they are responsible.</li><li>Ensures adherence to high quality statistical data sciences principles, processes and techniques in their daily work.</li></ul>JOB RESPONSIBILITIES<ul><li>Will be learning in the space of statistical data sciences and data standards.</li><li>Accountable for their assigned work supporting the statistical data sciences leads for a particular study or asset deliverable.</li><li>Ensures appropriate documentation and QC documentation for their deliverables.</li><li>May provide supportive QC work for other statistical data scientists deliverables.</li><li>Works with statistical data sciences leads to ensure clear specifications for their deliverables are in place.</li></ul>QUALIFICATIONS / SKILLS<ul><li>Bachelor or Master (preferred) Degree in Statistics, Data Sciences, Biological Sciences, IT, or related field.</li><li>Some experience in SAS, R, or Python programming and knowledge of clinical trials would be considered as an asset.</li><li>Strong written and oral communication skills, and time management skills.</li><li>Proven ability to manage timelines.</li><li>Fluent in English.</li></ul>

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