Lead Data Engineer ID71008
Tasks
- Architect partitioning strategy and schema design for OLAP workloads
- Build data lake architecture on S3 and serverless query engines
- Design ETL pipelines for data extraction transformation validation
- Drive AWS data ecosystem architecture with DevOps
- Implement near real time processing for analytical data systems
- Lead and mentor developers and align engineering practices
- Manage scheduled batch pipeline structure dependencies and triggering strategy
- Orchestrate batch workflows using Airflow DAGs
- Review pull requests and enforce code quality standards
Perks/Benefits
- Annual learning budget
- Flexible hours
- Internal TechTalks
- Mentorship
- People focused support
- Remote work
- Wellbeing programs
Skills/Tech-stack
AI Assisted Development | AI-Assisted Development Tools | AWS Bedrock | Amazon Athena | Amazon EKS | Amazon S3 | Apache Airflow | Apache Spark | BigQuery | ClickHouse | DAG | Data Lake | Data pipeline | Development tools | Docker | ETL | FastAPI | File format | File format strategy | Flask | GraphQL | Kubernetes | Langchain | Machine Learning | ORC | Parquet | Partitioning | PostgreSQL | Presto | Pydantic | Python | REST API | Schema Design | Serverless | Snowflake | Spark SQL | Trino | Trino SQL | Workflow Orchestration
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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