About the role
- 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 AWS database services such as RDS, Redshift and DynamoDB.
- Build different types of data warehousing layers based on specific use cases.
- Utilize expertise in SQL and have a strong understanding of ETL and data modeling.
- Ensure the accuracy and availability of data to customers and understand how technical decisions can impact their business’s analytics and reporting.
- 3-8 Years of experience
- Preference for immediate joiners and candiates who can join us within 30 days
- Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, or Information Technology
- Experience with AWS cloud and AWS services such as S3 Buckets, Glue Studio, Redshift, Athena, Lambda, and SQS queues.
- Experience with batch job scheduling and identifying data/job dependencies.
Preferred Skills:
- Proficiency in data warehousing, ETL, and big data processing.
- Familiarity with the Pharma domain is a plus.