senior data engineer

Chubb is looking for a Senior Data Engineer to join our team.  This is a permanent full-time position and a compelling opportunity to join a global, growing, financially stable and successful company.  As an industry leader, Chubb is an employer of choice for skilled technology professionals aspiring to develop a meaningful career in a fast-paced, diverse company with offices in most major cities in the world. 

Responsibilities:

• Design and implement well tested scalable data engineering solutions establishing process to ensure best practices and architectural principles while being responsible for all stages of the development lifecycle, from design and coding to integration, optimization, deployment, and support. 

• Lead collaboration with stakeholders to assess data needs, capturing key insights in comprehensive documentation.  

• Design scalable data infrastructure ensuring security and compliance standards. 

• Organize, unify and optimize data from multiple structured and unstructured sources and environments to build robust, multi-functional data assets that support analytics. 

• Establish development processes that ensure high code quality and uniformity of the data pipelines. 

• Conduct thorough code reviews to promote best practices are being followed. 

• Design and implement sophisticated data models that support multiple use cases across different products and domains. 

• Tackle challenging data engineering problems that might include communications with our vendors. 

• Provide estimates and unblock team members to meet project deadlines. 

• Improve existing development processes by identifying inefficiencies and implementing streamlined workflows to enhance productivity. 

• Mentor and guide data engineers supporting continuous improvement within the team and building a collaborative environment. 

Qualifications

• At least 5 years of data/software engineering experience including extensive work in data analysis, design and implementation of ETL/ELT pipelines. 

• Strong programming experience in multiple languages (Python, Java, Scala, etc.)  

• Advanced SQL knowledge applied to real-case scenarios, including query optimization. 

• Extensive experience with data modeling, including designing and implementing complex data models. 

• In-depth understanding of multiple database types relational, columnar, graph, object, NoSQL, time-series, etc).

• Extensive experience with Databricks platform. 

• Deep knowledge of Spark architecture including tracked record of performance optimization use cases. 

• Good understanding of DevOps principles (CICD, version control, automated testing, git workflows, deployment strategies, observability). 

• Extensive experience with git version control system including branching strategies 

• Exceptional communications skills with the ability gain trust of the stakeholders translating complex technical concepts to non-technical people in English. 

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  Nice to have: 

• Experience with one or more Azure Synapse Analytics, Azure Data Factory or Snowflake is a plus. 

• Familiarity building and consuming web APIs is a plus. 

Our team makes the difference, every time. For this reason, we offer in return!

We offer hybrid working model, explicit, structured career development, a competitive salary package, annual bonus, private medical cover, monthly allowance for lunch, continuous learning experiences, work in a fun, lively environment with mentoring from our groundbreaking senior mentors.