Data Engineer
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Job Description
Data Engineer building and optimizing ETL pipelines and SQL transformations for Data Ideology. Collaborating with teams to enhance data workflows in production environments.
Responsibilities:
- Develop, maintain, and enhance production ETL pipelines using Informatica (PowerCenter and/or IICS)
- Write, optimize, and troubleshoot complex SQL used for transformations, validations, and analytics
- Support and enhance data pipelines loading into Snowflake
- Debug failed ETL jobs, data discrepancies, and performance issues across ETL and warehouse layers
- Collaborate with business and technical stakeholders to understand data requirements and translate them into working solutions
- Support data warehouse environments across cloud and hybrid architectures
- Maintain technical documentation, mappings, and workflow logic
- Participate in SDLC processes including deployments, testing, and version control
Requirements:
- 5+ years of hands-on experience building and supporting ETL pipelines in production
- Strong SQL skills, including complex joins, subqueries, aggregations, and performance tuning
- Hands-on experience with Informatica PowerCenter and/or Informatica IICS
- Experience working with cloud data warehouses, including Snowflake
- Ability to independently troubleshoot ETL failures, data issues, and query performance problems
- Experience working within SDLC frameworks and version control systems
- Strong communication skills and ability to explain technical work clearly.
Benefits:
- PTO Policy
- Eligibility for Health Benefits
- Retirement Plan
- Work from Home
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