Senior Data Engineer
Navi Mumbai, India (Finicity)
INR 3000K-5000K (estimate) Senior-level Full Time
Tasks
- Administer Databricks and Snowflake governance
- Apply DBA fundamentals for indexing and query optimization
- Architect scalable AWS ETL pipelines
- Build LLM workflows with prompt engineering and evaluation
- Build pipelines with AWS Glue and S3
- Design REST APIs for model inference and data access
- Design agentic AI solutions
- Develop analytics and AI standards for Databricks and Snowflake
- Develop production Python applications
- Implement incremental processing and fault tolerant ETL
- Lead AI ideation for automation
- Manage backup recovery and high availability
- Migrate legacy logic to PySpark on Databricks
- Orchestrate monitoring and error handling for data pipelines
- Perform performance tuning and query optimization
- Refactor Python codebases for performance and scalability
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Bedrock | AWS Glue | AWS IAM | AWS Lambda | Amazon RDS | Amazon S3 | Amazon SageMaker | Backup and Recovery | CI/CD | Databricks | ETL | Embeddings | Experiment tracking | FastAPI | Fault Tolerance | Flask | High Availability | Incremental processing | Indexing | Infrastructure as Code | MLOps | MongoDB | MySQL | PostgreSQL | PySpark | Python | Query Optimization | RAG | REST API | Snowflake | Terraform | Vector Database | “as-code”
Education
N/A
Roles
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