Senior Data Engineer
Tasks
- Adopt new data engineering technologies
- Apply data modeling and storage optimization best practices
- Build and optimize ETL ELT workflows for batch and real time processing
- Build reusable data engineering components
- Collaborate with product analytics and engineering teams
- Design scalable data pipelines for ingestion transformation integration
- Develop data warehouse pipelines
- Ensure data reliability accuracy consistency governance
- Implement real-time streaming pipelines
- Integrate relational and NoSQL data sources
- Monitor troubleshoot and optimize pipeline performance
- Process structured and unstructured data
- Use Apache Spark for distributed data processing
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Spark | Athena | Azure | Cassandra | Data Governance | Data Modeling | Data Quality | Data Warehousing | ELT | ETL | GCP | Glue | Kafka | Kafka Streams | MongoDB | MySQL | NoSQL | PostgreSQL | Python | Redshift | S3 | SQL | Snowflake
Education
N/A
Roles
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