FSSBU - AWS Data Engineer - C1 - (BARC)
Tasks
- Apply AWS security best practices with IAM and KMS
- Automate infrastructure provisioning with IaC
- Build ETL and ELT pipelines
- Build data lakes on Amazon S3
- Build data warehouses on Redshift and Snowflake
- Design data architectures on AWS
- Design data models and schemas
- Develop batch and real time ingestion pipelines
- Implement CI/CD pipelines
- Implement data quality checks
- Implement data transformation workflows
- Manage metadata and data lineage with AWS Glue Data Catalog
- Monitor data pipelines with CloudWatch and CloudTrail
- Optimize partitioning and query performance
- Troubleshoot pipeline failures and performance issues
Perks/Benefits
- Company-Paid Holidays
- Disability insurance
- Employee assistance program
- Employee assistance programs
- Life insurance
- Medical, dental, and vision coverage
- Paid time off
- Retirement savings plan
- Sick leave
Skills/Tech-stack
AWS CloudFormation | AWS CloudTrail | AWS Config | AWS Glue | AWS Glue Data Catalog | AWS IAM | AWS KMS | AWS Lambda | AWS Secrets | AWS Secrets Manager | Amazon Athena | Amazon CloudWatch | Amazon DynamoDB | Amazon EMR | Amazon Kinesis | Amazon Redshift | Amazon S3 | Apache Kafka | Apache Spark | CI/CD | CodeBuild | CodePipeline | Data Catalog | Data Lake | Data Modeling | Data Quality | Data Warehousing | ELT | ETL | GitHub Actions | Glue Data Catalog | Infrastructure as Code | Jenkins | Partitioning | Python | Query Optimization | SQL | Scala | Secrets Manager | Snowflake | Terraform | VPC | “as-code”
Education
Roles
Regions
Countries
States
Cities
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