Our Client: Our client is a next-generation analytics and AI company transforming the Life Sciences industry. As a trusted partner to global pharmaceutical and biotech firms, it combines deep domain expertise with cutting-edge cloud technologies to deliver scalable, high-impact solutions. With a mission to disrupt the traditional consulting mode, the company empowers organizations to harness the full potential of their data through intelligent automation, innovation, and insight-driven strategies.

Job Title: AWS Data Engineer

Education: Bachelor’s or master’s degree in computer science, Information Technology

Experience: 4-8 Years

Location: Bangalore

Immediate joiners preferred

About the Role:

We are looking for a highly skilled AWS Data Engineer to join our client's fast-growing data engineering team. This is an exciting opportunity to build enterprise-grade data pipelines and solutions on the AWS cloud platform, enabling smarter decision-making in the Life Sciences industry.

Key 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 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.

Required Technical Skills:

• Experience with batch job scheduling and identifying data/job dependencies.
• Proficiency in data warehousing, ETL, and big data processing.
• Familiarity with the Pharma domain is a plus.