Senior Data Engineer

takeda

Bengaluru 5 Years Exp Posted 1h ago

Job Description

ACCOUNTABILITIES

  • Develop and maintain scalable data models and pipelines using AWS native technologies to support increasing data sources, volumes, and complexity.
  • Collaborate with several business functions to improve data models and its quality to support the development of digital products, fostering data-driven decision-making across the organization.
  • Implement processes and systems to ensure data reconciliation, monitor data quality, and ensure production data is accurate and available for key stakeholders, downstream systems, digital products, and business processes.
  • Write unit, integration, and performance test scripts, contribute to engineering documentation, and maintain the engineering wiki.
  • Perform data analysis to troubleshoot and resolve data-related issues.
  • Work closely with AGILE SCRUM Teams, specifically frontend and backend engineers, product managers, scrum masters, quality engineers to deliver integrated and scalable data products.
  • Collaborate with enterprise teams, including Enterprise Architecture, Security, and Enterprise Data Backbone Engineering, to design and develop data integration patterns and models supporting various digital products.
  • Partner with DevOps and the Cloud Center of Excellence to deploy data pipeline solutions in the Takeda AWS environments, meeting security and performance standards.
  • Support and align with Data Trustees, Data Stewards, and Master Data Management functions following Data Governance principles.

EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS:

Essential

  • Bachelor’s Degree from an accredited institution in Engineering, Computer Science, or a related field.
  • 5+ (preferably 7+) years of experience in data engineering, software development, data warehousing, data lake/mesh, and supporting digital products developing data products following FAIR principles.
  • Strong expertise in data integration, data modeling, and modern database technologies (GraphQL, SQL, No-SQL, python, pySpark) and AWS cloud technologies (e.g., DMS, Lambda, Databricks, SQS, Step Functions, Data Streaming).
  • Extensive experience in DBA, schema design & dimensional modeling, and SQL optimization.
  • Excellent written and verbal communication skills, with the ability to collaborate effectively with cross-functional teams.
  • Understanding of good engineering practices (DevSecOps, source-code versioning using GIT, ...)
  • Proficient working in AGILE SCRUM Teams and using JIRA and Confluence
    • Knowledge of SDLC