Senior Data Engineer
INR 2040K-2400K (estimate) Senior-level Full Time
Tasks
- Analyze data issues and troubleshoot production incidents
- Apply data engineering best practices and design patterns
- Automate data pipeline workflows and validations
- Build distributed low latency reliable data pipelines
- Collaborate with agile teams to design and develop data engineering solutions
- Communicate effectively with technical and non-technical stakeholders
- Create data flow and technical design documentation
- Design batch and streaming data pipelines for big data workloads
- Design data model improvements with analytics and business teams
- Develop unit and integration tests
- Implement access controls and encryption for data security and privacy
- Implement real time data ingestion for streaming workloads
- Monitor data quality and enforce data consistency
- Optimize code for performance
Perks/Benefits
- N/A
Skills/Tech-stack
AWS EC2 | AWS EMR | AWS Glue | AWS Lambda | AWS S3 | Amazon DynamoDB | Amazon Kinesis | Amazon RDS | Amazon Redshift | Apache Airflow | Apache Flink | Apache Hadoop | Apache Kafka | Apache Spark | CI/CD | DBT | Data Pipeline Monitoring | Data Quality | Data encryption | Data pipeline | Databricks | Dimensional Modeling | Fivetran | Git | GitHub Actions | Jenkins | Key Management | Pipeline monitoring | PySpark | Python | SQL | Snowflake | Spark Structured Streaming | Structured Streaming | Version control
Education
Roles
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