JOBILY AI SUMMARY
What you'll do
- Develop data applications and solutions while building core skills and working independently
- Handle increasingly complex tasks, apply learned knowledge, deliver results, and solve routine problems
- Build and optimize scalable data pipelines and workflows in cloud environments
- Gather requirements and support data architects in defining data models and architecture
- Maintain data quality and governance standards while aligning solutions with business needs
- Improve processes and apply DevOps practices to streamline workflows
Key requirements
- 1+ years' experience
- Cloud data engineering, cloud platforms, and data pipelines and workflows
- SQL and Python/PySpark
- Data warehousing and data management
- Data quality and governance
- Databricks, Microsoft Fabric, and Azure Synapse Analytics
- Data visualization tools and ETL tools
- Computer Science / Information Systems / Any Field
Benefits
- Competitive salary and benefits including insurance, performance-based bonuses, vouchers, flexible work arrangements, employee share purchase plan, parental leave, paid overtime when needed, training, career coaching, mentorship, and corporate discounts.
- Additional relocation benefits may apply under the Brain Regain initiative.
About the job
As a Cloud Data Engineer at Accenture, you’ll work in cross-functional teams to help our clients unlock the power of their data. You’ll design, build, and deploy modern data solutions on leading cloud platforms, creating the foundations that enable advanced analytics and AI. Responsibilities…


