LAM-MTS-AWS+PySparks
Noida, Uttar Pradesh, India
INR 1200K-2000K (estimate) Mid-level Full Time
Tasks
- Apply data engineering best practices
- Automate workflows with AWS Step Functions and EventBridge
- Collaborate with analysts on data requirements
- Create dashboards with Amazon QuickSight
- Design scalable data lakes on AWS S3
- Develop ETL pipelines with PySpark and AWS Glue
- Develop and optimize DynamoDB databases
- Monitor and optimize data processing workflows
- Troubleshoot data issues and resolve problems
- Use Git for version control
- Write and optimize SQL queries
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Glue | AWS Lambda | AWS Step Functions | Amazon Athena | Amazon CloudWatch | Amazon DynamoDB | Amazon EventBridge | Amazon QuickSight | Amazon Redshift | Amazon S3 | CodeCommit | Data Lakes | Data Modeling | Data Warehousing | ETL | Git | PySpark | Python | SQL | Step Functions
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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