Staff Data Engineer (8-10 years' exp - Java/Python, Scala, Spark, Hadoop)
Tasks
- Build ETL/ELT frameworks
- Conduct performance tuning
- Design data pipelines
- Develop RAG data pipelines
- Ensure data privacy encryption access control
- Implement distributed data processing
- Implement near real time analytics data access
- Integrate Kafka Airflow Delta Lake
- Lead proof of concept evaluations
- Mentor junior data engineers
- Modernize data platform
- Optimize SQL Server models
- Perform production troubleshooting
- Set up data governance lineage quality
- Support data warehouse high availability
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Glue | Access Control | Airflow | Apache Atlas | Azure Data | Azure Data Factory | Azure Synapse | Data Factory | Data Governance | Data Lineage | Data Modeling | Data Partitioning | Data Quality | Data Retention | Database performance | Database performance tuning | Databricks | Delta Lake | Docker | ELT | ETL | Encryption | Great Expectations | Hadoop | Java | Jenkins | Kafka | Kubernetes | LLM | Langchain | Langgraph | Performance Tuning | Python | RAG | Redshift | S3 | SQL | SQL Server | Scala | Snowflake | Spark | Stored Procedures | T-SQL | Terraform | Vector Databases
Education
Roles
Data Engineer | Engineer | Senior Data Engineer | Staff Data Engineer
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