Data Engineer III
India-Chennai (Ascendas Tech park)
INR 2800K-4000K (estimate) Senior-level Full Time
Tasks
- Build AWS data workflows
- Collaborate with data scientists analysts and BI teams
- Create CI/CD pipelines
- Design ETL/ELT pipelines
- Ensure GDPR data privacy compliance
- Implement data governance with Lake Formation
- Implement encryption and IAM access policies
- Implement real time and batch streaming
- Ingest, transform, and load data
- Integrate data from APIs on prem and third party sources
- Manage data in S3 DynamoDB RDS and Redshift
- Monitor audit logs with CloudTrail
- Monitor pipeline health with cloudwatch
- Optimize data partitioning and lifecycle
- Optimize storage formats
- 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
- Accident insurance
- Casual leave
- Compassionate leave
- Employee assistance program
- Flexible working arrangement
- Group accident insurance
- Group life insurance
- Health insurance
- Life insurance
- Long service awards
- Medical screening
- Modern family benefits
- New baby gift
- Paid time off
- Privilege leave
- Sabbaticals
- Shared parental leave
- Sick leave
- Special sick leave
- Study assistance
- Subsidized meals
Skills/Tech-stack
AWS | AWS CDK | AWS Glue | AWS Glue Workflows | AWS Kinesis | AWS Lake | AWS Lake Formation | AWS Lambda | AWS Step Functions | Amazon Athena | Amazon Aurora | Amazon DynamoDB | Amazon EC2 | Amazon EMR | Amazon Glue | Amazon Glue Data Catalog | Amazon RDS | Amazon Redshift | Amazon S3 | Amazon SNS | Amazon SQS | Amazon VPC | Apache Kafka | Apache Spark | CI/CD | CloudFormation | CloudTrail | CloudWatch | Data Catalog | Databricks | ELT | ETL | Git | Glue Data Catalog | Glue Workflows | Hadoop | IAM | Lake Formation | ORC | Parquet | Python | SQL | Scala | Step Functions | Terraform
Education
Roles
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