Eg-100 - Information Technology / Data Architecture

Bristol Myers Squibb

Hyderabad, India
50% onsite
Design, build, maintain etl pipelines
Develop and maintain data models
Optimize data storage and retrieval
The Data Engineer will be responsible for designing, building, and maintaining the ETL pipelines, data products, evolution of the data products, and utilize the most suitable data architecture required for our organization's data needs

Job Summary

  • The Data Engineer will be responsible for designing, building, and maintaining the ETL pipelines, data products, evolution of the data products, and utilize the most suitable data architecture required for our organization's data needs.
  • Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment.
  • You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams.

Matching Summary

The Data Engineer will be responsible for designing, building, and maintaining the ETL pipelines, data products, evolution of the data products, and utilize the most suitable data architecture required for our organization's data needs.

Skills & Requirements

Must-have

  • Design, build, maintain ETL pipelines
  • Develop and maintain data models
  • Optimize data storage and retrieval
  • Ensure data quality and integrity
  • Implement and maintain security protocols
  • Expertise in Databricks
  • Real-time data ingestion pipelines in AWS

Nice-to-have

  • End-to-end ownership mindset
  • Innovate and drive initiatives
  • Subject Matter Expert on Data & Analytics
  • Agile/Product based environment experience
  • Lifesciences Research and Development domain knowledge
  • Focus on improving processes and knowledge
  • Lead in analyzing current states

Key Requirements

  • 5-8 years hands-on experience in data capabilities
  • Breadth of experience in data management lifecycle
  • Expertise in designing and building real time data ingestion data pipelines in AWS
  • Expertise in CloudFormation
  • Expertise in developing GitHub Workflows
  • 5+ years of experience in data engineering or software development
  • Strong programming skills in Python, R, PyTorch, PySpark, Pandas, Scala
  • Experience with SQL and database technologies
  • Experience with cloud-based data technologies (AWS, Azure, GCP)

Work Rights

Not specified

Tailored Resume

Cover Letter