Specialist, GSF DnA Data Engineer
INR 1500K-2465K (estimate) Mid-level Full Time
Tasks
- Apply unit and integration testing and automated data tests
- Build dimensional models for analytics
- Create technical documentation and runbooks
- Define data SLAs and SLOs
- Design batch and streaming data pipelines
- Develop and maintain ETL ETL transformations
- Develop scalable processing with PySpark and Spark
- Implement CI/CD quality gates
- Implement data quality controls and validation
- Manage metadata lineage and data catalog practices
- Optimize ETL ETL jobs for performance cost and reliability
- Orchestrate and monitor data pipelines
- Package and deploy workloads with Docker
- Provision and manage AWS resources with Infrastructure as Code
- Set up GitHub version control and CI CD
- Support operational handoffs and production support
- Write and tune advanced SQL
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS Glue | AWS Lambda | AWS Step Functions | Amazon CloudWatch | Amazon EMR | Amazon S3 | Anomaly Detection | Automated testing | CI/CD | Data Catalog | Data Governance | Data Lake | Data Lineage | Data Quality | Data Warehousing | Data profiling | Databricks | Databricks Workflows | Delta Lake | Delta Lake ACID | Dimensional Modeling | Docker | ELT | ETL | Encryption | GitHub | IAM | Infrastructure as Code | Integration Testing | Lakehouse | Least Privilege | Metadata | Observability | Orchestration | PySpark | Python | Reconciliation | SCD Type-2 | SQL | Schema evolution | Slowly Changing Dimensions | Snowflake Schema | Spark Caching | Spark Partitioning | Spark Shuffle | Star Schema | Step Functions | Terraform | Type 2) | Unit Testing | “as-code”
Education
Roles
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