• Designing and Building Data Pipelines: Create efficient and scalable data pipelines using AWS services such as AWS Glue, Lambda, Step Functions, and S3.
• Data Ingestion and Transformation: Extract, transform, and load (ETL) data from various sources into AWS data lakes or data warehouses.
• Data Modeling and Warehousing: Design and implement data models for efficient querying and reporting.
• Data Governance and Security: Ensure data quality, governance, and security best practices.
• Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
Job Type: Full-time
Pay: $110,419.00 - $130,108.00 per year
Benefits:
• 401(k)
• Dental insurance
• Health insurance
Schedule:
• 8 hour shift
Experience:
• Informatica: 1 year (Preferred)
• SQL: 1 year (Preferred)
• Data warehouse: 1 year (Preferred)
Ability to Relocate:
• Indianapolis, IN: Relocate before starting work (Required)
Work Location: On the road
Location: Indianapolis, IN
Posted: Nov. 11, 2024, 2:02 a.m.
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