Data Engineer III
India-Chennai (Ascendas Tech park)
INR 3000K-4000K (estimate) Senior-level Full Time
Tasks
- Collaborate with data scientists analysts and BI teams
- Create CI/CD pipelines
- Design and build ELT pipelines
- Design and build ETL pipelines
- Ensure data governance and privacy compliance
- Implement AWS Lake Formation access control
- Implement data encryption and access policies
- Implement real time and batch streaming
- Ingest, transform, and load data
- Integrate data from APIs and databases
- Manage structured and unstructured data
- Monitor pipeline health and performance
- Optimize data partitioning and lifecycle
- Optimize storage formats for cost and speed
- Participate in agile sprint planning and retrospectives
- Schedule and monitor data workflows
- Set up alerts and logging for failures
- Tune ETL jobs and query performance
Perks/Benefits
- Comprehensive health insurance
- Employee assistance program
- Flexible working arrangement
- Group accident insurance
- Group life insurance
- Long service awards
- Medical screening
- Sabbaticals
- Shared parental leave
- Study assistance
- Various paid time off
Skills/Tech-stack
AWS | AWS CDK | AWS CloudFormation | AWS Glue | AWS Glue Workflows | AWS Lake Formation | AWS Lambda | AWS Step Functions | Agile | Amazon Athena | Amazon Aurora | Amazon DynamoDB | Amazon EC2 | Amazon EMR | Amazon Glue | Amazon Kinesis | Amazon RDS | Amazon Redshift | Amazon S3 | Amazon SNS | Amazon SQS | Amazon VPC | Apache Spark | CI/CD | CloudTrail | CloudWatch | Data Governance | Data encryption | Databricks | ELT | ETL | Git | Glue Workflows | Hadoop | IAM | Kafka | Lake Formation | ORC | Parquet | Python | SQL | Scala | Step Functions | Terraform
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science | Master of Science
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