Job Title

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 EngineerEducation: Bachelor’s or master’s degree in computer science, Information TechnologyExperience: 4-8 YearsLocation: BangaloreImmediate joiners preferredAbout 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.