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Data Engineer – Short-Term Engagement
Serverless Guru. Design, build, and optimize data pipelines using CData connectors .
Tech Stack
Tools & technologiesETLSQL
About the role
Key responsibilities & impact- Design, build, and optimize data pipelines using CData connectors
- Ingest and transform data into Snowflake for analytics and reporting
- Develop and maintain scalable data models within Snowflake
- Build and optimize Looker schemas (LookML) for business intelligence use cases
- Ensure data quality, consistency, and reliability across systems
- Collaborate with stakeholders to understand reporting requirements and translate them into technical solutions
- Troubleshoot and resolve data pipeline and modeling issues
- Implement best practices for data governance, performance optimization, and scalability
Requirements
What you’ll need- 5+ years of overall data engineering experience
- Expert-level experience with CData (connectors, integrations, and data ingestion)
- Strong expertise in Snowflake (data modeling, performance tuning, ETL/ELT)
- Extensive experience building Looker schemas (LookML)
- Strong SQL skills and experience working with large datasets
- Experience designing and implementing end-to-end data pipelines
- Familiarity with data integration patterns and best practices
- Experience working in Agile development environments
- Strong problem-solving and communication skills.
Benefits
Comp & perks- Health insurance
- Flexible work arrangements
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringCData connectorsSnowflakeLookerLookMLSQLETLELTdata modelingdata ingestion
Soft Skills
problem-solvingcommunicationcollaboration