Data Engineer III
India-Chennai (Ascendas Tech park)
INR 3000K-4000K (estimate) Senior-level Full Time
Tasks
- Apply data governance and privacy compliance
- Build ETL and ELT pipelines
- Collaborate with data science and BI teams
- Create CI CD pipelines with Infrastructure as Code
- Design data partitioning and indexing
- Implement data encryption and access policies
- Implement real-time and batch data streaming
- Ingest, transform, and load data
- Integrate data from APIs and databases
- Manage structured and unstructured data
- Monitor pipeline health and performance
- Optimize data storage formats
- Participate in agile sprint planning and retrospectives
- Schedule and monitor data workflows
- Set alerts and logging for failures
- Tune ETL jobs and query performance
- Use data lake access controls
Perks/Benefits
- Accident insurance
- Employee assistance program
- Flexible working arrangement
- Health insurance
- Life insurance
- Long service awards
- Medical screening
- Parental leave
- Sabbaticals
- Sick leave
- Study assistance
- Vacation time
Skills/Tech-stack
AWS Athena | AWS CDK | AWS Glue | AWS Kinesis | AWS Lake Formation | AWS Lambda | AWS Redshift | AWS S3 | AWS SNS | AWS SQS | AWS Step Functions | AWS VPC | Amazon Aurora | Amazon DynamoDB | Amazon EC2 | Amazon EMR | Amazon RDS | Apache Kafka | Apache Spark | Big Data | CI/CD | CloudFormation | CloudTrail | CloudWatch | Data Governance | Data Security | Databricks | ELT | ETL | Git | Hadoop | IAM | Lake Formation | ORC | Parquet | Python | SQL | Scala | Step Functions | Terraform
Education
N/A
Roles
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