AWS Data Engineer
DataZymes Analytics Pvt. Ltd.over 1 year ago
Bengaluru, IndiaMid Level / Senior
Responsibilities
- Design and implement data pipelines using AWS services such as S3, Glue, PySpark, and EMR.
- Develop and maintain data-processing and transformation scripts using Python and SQL.
- Optimize data storage and retrieval using RDS, Redshift, and DynamoDB.
- Build data-warehousing layers for specific use cases.
- Apply ETL, data modeling, and big data processing practices.
- Schedule batch jobs and identify data and job dependencies.
- Ensure data accuracy and availability for customers.
- Consider how technical decisions affect business analytics and reporting.
Requirements
- 3-8 years of experience in data engineering or a related area.
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or Information Technology.
- Experience with AWS cloud and services including S3 Buckets, Glue Studio, Redshift, Athena, Lambda, and SQS queues.
- Proficiency in SQL, data warehousing, ETL, and big data processing.
- Understanding of data modeling and batch job dependencies.
- Familiarity with the pharma domain is preferred.
Benefits
- Preference is given to immediate joiners or candidates who can join within 30 days.