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S Linx LLC

Sr Data Engineer

Pay: Not specified
Posted: 2 weeks ago
Location: Santa Monica, CA (Onsite)
Last Updated: 1 week ago
Hours: Full-Time
Expires: 10/7/2026
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Job Description

Role
  • Sr Data Engineer Location
  • Santa Monica, California, Onsite
  • 4 days office
Responsibilities:
  • Design and develop scalable ETL/ELT pipelines to ingest and transform data from various sources.
  • Build and maintain data models and transformations using DBT in Snowflake.
  • Work closely with analysts and business users to deliver Power BI dashboards and datasets .
  • Integrate and automate data extraction from external APIs using Python , loading clean data into Snowflake.
  • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
  • Optimize and monitor data workflows in
ADF, AWS
Glue , or similar tools.
  • Work with relational databases and ensure data integrity, quality, and performance.
  • Maintain documentation and follow best practices for data engineering workflows.
  • Support data migration or integration efforts with SAP BW systems (a plus, not mandatory).
Required Skills:
  • Strong experience with Snowflake (data modeling, performance tuning, warehousing concepts).
  • Proficiency in DBT (Data Build Tool) for transformation pipelines.
  • Hands-on experience with Power BI (data modeling, DAX, visualization best practices) or other tools like SAC/Tableau.
  • Solid knowledge of Python , especially for API integrations and data processing.
  • Experience with cloud-based data pipeline tools , such as Azure Data Factory (ADF) and/or AWS Glue .
  • Good understanding of relational databases , SQL, and data modeling concepts.
  • Strong problem-solving skills and ability to work independently or in a team.
  • Excellent communication and documentation skills.
Nice to
Have:
  • Exposure to SAP BW data sources or integration with Snowflake.
  • Experience with DevOps tools for data (CI/CD, version control in data workflows).
  • Familiarity with orchestration tools like Airflow or Azure Data Factory triggers.