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Tech Stack
Tools & technologiesApacheETLPySparkSparkSQL
About the role
Key responsibilities & impact- Partner with AI/ML product teams to proactively identify the data needs for rapid experimentation and stable production deployment
- Ensure data availability by collaborating with Product teams
- Support Data Analysts, Data Scientists, MLOps engineers in developing optimized data models, pipelines and frameworks
- Build pipelines to ingest, clean, and transform structured, semi-structured, and unstructured data formats
- Conduct data profiling, validation, and anomaly detection
- Build Vector databases for semantic search and retrieval of unstructured content
- Collaborate with data scientists and ML engineers to design end-to-end generative AI solutions
- Build clean, error-free MVP ready data models
Requirements
What you’ll need- 5 years of experience that includes ETL/ELT workflow experience in design, configuration, data mapping, extraction, transformation and loading
- Writing code and maintaining it
- Data warehousing high-level principles and understanding of business intelligence
- Experience working with Databricks and Apache Spark/PySpark
- Proficiency with complex SQL development
- Fluent in English
Benefits
Comp & perks- Pension plan
- Medical insurance
- Life insurance
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
ETLELTdata mappingdata extractiondata transformationdata loadingSQLdata modelingdata profilinganomaly detection
Soft Skills
collaborationcommunicationproblem-solvingorganizational skillsproactive identification
