Senior Data Engineer
Tasks
- Architect data ingestion pipelines
- Build data orchestration and workflow automation
- Design data models for analytics workloads
- Enforce data engineering best practices with CI CD
- Implement batch and real-time data pipelines
- Integrate Databricks Snowflake AWS services and vendor APIs
- Maintain production runbooks and documentation
- Mentor junior data engineers
- Monitor troubleshoot and perform root cause analysis
- Optimize query and pipeline performance
Perks/Benefits
Skills/Tech-stack
AWS Glue | AWS IAM | AWS Lambda | AWS S3 | AWS SQS | Airflow | Automated testing | Avro | CI/CD | Caching | Clustering | DBT | Data Architecture | Data Lineage | Data Modeling | Databricks | Databricks Workflows | Delta Lake | Distributed Computing | ELT | ETL | GitLab | Indexing | JSON | Kafka | Logging | ORC | Observability | Orchestration | Parquet | Partitioning | Performance Tuning | Profiling | PySpark | Python | Query Optimization | SQL | Schema evolution | Snowflake | Snowflake Schema | Spark SQL | Star Schema | Terraform | Version control | Z-ordering
Education
Roles
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