Senior Data Engineer
Tasks
- Analyze datasets to identify trends and insights
- Architect data and analytics solutions
- Automate cloud infrastructure monitoring and observability
- Build dashboards and reporting solutions
- Build resilient data infrastructure
- Collaborate with cross-functional teams on requirements
- Define and maintain key metrics KPIs and data models
- Design batch and real-time data pipelines
- Develop data pipelines for deployment quality
- Enable self service analytics with dashboards and data access patterns
- Execute ETL workflows and data transformations
- Optimize data pipelines for large-scale datasets
- Present technical insights to stakeholders
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Airflow | Apache Hive | Apache Spark | Apache Zeppelin | Batch Processing | Cloud infrastructure | Data Transformation | Data Warehousing | Dimensional Modeling | ETL | Git | Jupyter | Monitoring | Observability | Power BI | PySpark | Qlik | Real Time | Real-time Processing | SQL | Snowflake | Spark SQL | Tableau | Time processing
Education
N/A
Roles
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