Responsibilities
• Design and implement data pipelines using AWS services such as S3, Glue, PySpark and EMR.
• 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 modelling.
• Ensure the accuracy and availability of data to customers and understand how technical decisions can impact their business's analytics and reporting.
• Experience with AWS cloud and AWS services such as S3 Buckets, Glue Studio, Redshift, Athena, Lambda, and SQS queues

Qualifications
• Bachelor's or master's degree in computer science, Information Technology
• 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.

(ref:hirist.tech)