Senior Data Engineer

Overview

Senior Data Engineer responsible for building and maintaining data systems, data tables, and data models optimized for operations and analysis.

What you'll do

• Develop and maintain scalable data models and pipelines using AWS native technologies.
• Collaborate with business functions to improve data models and data quality for digital products.
• Implement data reconciliation and data quality monitoring to keep production data accurate and available.
• Write unit, integration, and performance test scripts and maintain engineering documentation/wiki.
• Perform data analysis to troubleshoot and resolve data-related issues.
• Work with Agile Scrum teams and enterprise teams to deliver integrated, scalable data products.
• Deploy data pipeline solutions in Takeda AWS environments with security and performance standards.

What you'll need

• 5+ years of experience in data engineering/software development/data warehousing/data lake/mesh supporting digital products following FAIR principles (preferably 7+).
• Strong expertise in data integration, data modeling, and modern database technologies (GraphQL, SQL, No-SQL, Python, PySpark).
• Strong AWS cloud technology experience (e.g., DMS, Lambda, Databricks, SQS, Step Functions, Data Streaming).
• Extensive experience in DBA, schema design & dimensional modeling, and SQL optimization.
• Proficient in Agile Scrum with JIRA and Confluence.
• Ability to collaborate effectively with cross-functional teams (excellent written and verbal communication).
• Bachelor’s degree in Engineering, Computer Science, or a related field.

Details

• Location: Bengaluru, India.