Data Engineer II, Data Operations

4 weeks ago

Hyderabad, Telangana, India Bristol Myers Squibb Full time

Job Summary

The Data Engineer II, Data Operations role at Bristol Myers Squibb is accountable for developing data solutions and operations support of the Enterprise data lake. The role will be accountable for developing the pipelines for the data enablement projects, production/application support and enhancements, and support data operations activities.

Key Responsibilities:

  • Design, build, and maintain the data products, evolution of the data products, and utilize the most suitable data architecture required for our organization's data needs to support GPS.
  • Deliver high-quality, data products and analytic-ready data solutions.
  • Develop and maintain data models to support our reporting and analysis needs.
  • Develop ad-hoc analytic solutions from solution design to testing, deployment, and full lifecycle management.
  • Optimize data storage and retrieval to ensure efficient performance and scalability.
  • Collaborate with data architects, data analysts, and data scientists to understand their data needs and ensure that the data infrastructure supports their requirements.
  • Ensure data quality and integrity through data validation and testing.
  • Implement and maintain security protocols to protect sensitive data.
  • Stay up-to-date with emerging trends and technologies in data engineering and analytics.
  • Work with data/analytic technologies such as MS Excel Macro, Tableau, Cloudera Data Platform (CDP), Domino, Python, and AWS/Azure/MS Cloud Products.
  • Participate in the analysis, design, build, manage, and operate lifecycle of the enterprise data lake and analytics-focused digital capabilities.
  • Develop cloud-based (AWS) data pipelines to facilitate data processing and analysis.
  • Define data operations support (example: Access management) and experience with the supporting tools.
  • Build e-2-e data ETL pipelines from data integration -> data processing -> data integration -> visualization.
  • Proficient in Python, Spark, SQL, AWS Redshift/DBs, S3, Glue/Glue-Studio, Athena, AI.
  • Familiarity and experience with Cloud infrastructure management and work closely with the Cloud engineering team.
  • Participate in effort and cost estimations when required.
  • Partner with other data, platform, and cloud teams to identify opportunities for continuous improvements.
  • Architect and develop data solutions according to legal and company guidelines.
  • Assess system performance and recommend improvements.
  • Responsible for maintaining of data acquisition/operational focused capabilities including: Data Catalog; User Access Request/Tracking; Data Use Request.

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