Senior Data Engineer

Industry / Sector / Domain

Life Sciences



Experience Range

7+ years

Company Profile

A global pioneer in pharmaceuticals and diagnostics

Job Profile

  • Develop various aspects of data analytics product. Contribute in full life cycle of products including data analysis, design, data mapping, development, unit testing, maintenance and troubleshooting.
  • Design and develop high quality, modular, reusable and scalable ETL code using Python and SQL.
  • Conduct performance tuning and query optimization
  • Scripting and coding to create reusable functions, libraries and utilities
  • Drive innovation through good understanding of data, business drivers and business need.
  • Perform technical walk-through to communicate design/coded solution and incorporate suggestions from team members.
  • Conduct code reviews, assist and guide other team members, provide training to support & implementation teams.
  • Work with Architects, other teams & stakeholders to help design an optimal solution.
  • Responsible for meeting product release timelines & code quality goals

Candidate Profile

  • Minimum 7 years of relevant experience
  • Expert level knowledge of SQL
  • Experience of building data pipelines using Python
  • Expert level knowledge of Redshift DB.
  • Experience on Apache Airflow to build, manage and troubleshoot workflows
  • Experience in data warehouse lifecycle management
  • Experience in shell scripting or programming
  • Good understanding of Database design and performance optimization techniques
  • Excellent oral and written communication skills.

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