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We are seeking a skilled BI & AWS Data Engineer to play a pivotal role in evolving our modern data platform. This unique position offers a 50/50 split between driving core Business Intelligence delivery and shaping next-generation, AI-driven data products. If you are a hands-on engineer who thrives at the intersection of robust data pipelining, advanced analytics, and emerging cloud AI services, this role is for you.
Job Responsibility
Design, build, and optimize scalable data pipelines and data lake components within AWS
Act as the hands-on expert for Power BI development, constructing complex solution designs, managing data models (DAX), and handling system administration
Contribute to emerging AI-enabled workflows, generative AI use cases, and cloud-based AI service integration (e.g., AWS Bedrock)
Drive database and reporting migrations (e.g., Jaspersoft to Power BI
MySQL/Postgres queries to AWS Athena)
Requirements
AWS Data Stack: Strong proficiency with AWS Athena, Glue, S3, Lambda, and Redshift/Postgres/MySQL RDS
BI Expertise: Exceptional, advanced-level Power BI development (including DAX, data modeling, and gateway administration)
Data Engineering Fundamentals: Advanced SQL and moderate-to-strong Python programming for data processing
Software Practices: Version control via GitHub
familiarity with CI/CD, Terraform, or DataOps is highly desirable
Cloud-based AI services (e.g., AWS Bedrock)
Supporting data structures for Generative AI or prompt engineering
Collaborating with Data Science teams to support ML pipelines