Data Engineer Associate Director

14 - 19 years

45 - 50 Lacs

Posted:2 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Are you ready to shape the future of data engineering in life sciencesAs a Data Engineer Associate Director, you ll lead the data engineering team and support the data science team inbuilding scalable Commercial solutions to enhance the medical/sales representative actionable. You ll be at the forefront of cloud-based data integration, driving automation, quality, and efficiency while collaborating with cross-functional teams to deliver impactful insights. This is your opportunity to make a real difference in global healthcare through cutting-edge data engineering.
About the Role
Major accountabilities
  • Design scalable data ingestion and integration solutions for TRD data platforms.
  • Ensure data quality by applying business and technical rules throughout its lifecycle.
  • Identify and implement automation opportunities to streamline data processes.
  • Build data pipelines using Python and CI/CD workflows for seamless data integration.
  • Collaborate with solution architects and vendors to align with best practices.
  • Apply data management principles including modeling, harmonization, and ontology standards.
  • Manage metadata effectively and leverage enterprise ontology tools.
  • Ensure adherence to FAIR data principles across applicable projects.
  • Conduct feasibility assessments and define project requirements with stakeholders.
  • Support end-user training and promote self-service data capabilities.
Minimum Requirements
  • University degree in Informatics, Computer Sciences, Life Sciences, or a related field.
  • Minimum 14 years of experience in data engineering with good understanding of healthcare or life sciences. Experience with Commercial is a plus.
  • Proven expertise in Python and R for ETL and BI data product development.
  • Strong experience with Snowflake, DevOps, AWS cloud data integration and third-party ingestion tools.
  • Proficiency in SQL for relational databases such as Oracle and/or MS SQL Server.
  • Hands-on experience with ETL tools like Alteryx and BI platforms like Power BI.
  • Solid understanding of data architecture, modeling, and analytics concepts.
  • Familiarity with Agile methodologies

Benefits and Rewards

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