Lead Data Engineer ID71008
Tasks
- Collaborate with DevOps for functional non functional requirements
- Define partitioning strategy for OLAP workloads
- Design Airflow DAG workflows for scheduled batch processing
- Design ETL pipelines for extracting transforming validating data
- Design schema and data type strategy for data lake
- Drive AWS data stack architecture decisions
- Guide developers and align engineering practices
- Implement near real time processing for analytics
- Orchestrate DAG dependencies and triggering strategy
- Review pull requests and enforce code quality
Perks/Benefits
- Annual learning budget
- Challenging projects
- Collaborative culture
- Flexible hours
- Mentorship
- People focused support
- Remote work
- Techtalks
- Well-being programs
Skills/Tech-stack
AWS S3 | Airflow | Amazon EKS | Apache ORC | Apache Parquet | Athena | BigQuery | ClickHouse | Data Lake | Docker | ETL | FastAPI | Flask | GraphQL | Kubernetes | OLAP | Partitioning Strategy | PostgreSQL | Presto | Python | REST | Schema Design | Serverless | Snowflake | Spark SQL | Trino
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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