Data Solutions Engineer
3 weeks ago
Transforming Data into Action
At Bristol Myers Squibb, we're committed to pushing the boundaries of what's possible in data engineering and analytics. As a Data Solutions Engineer - GPS Data & Analytics, you'll play a critical role in designing, building, and maintaining the data products and infrastructure that support our Enterprise data lake. You'll work closely with cross-functional teams to understand data needs and ensure that our data infrastructure meets the requirements of our scientists, analysts, and engineers. Whether it's optimizing data storage and retrieval, ensuring data quality and integrity, or implementing and maintaining security protocols, you'll be at the forefront of delivering high-quality data products and analytics-ready data solutions.
Key Responsibilities:
- Develop high-quality data products and analytics-ready data solutions for GPS Data & Analytics
- Collaborate with data architects, analysts, and scientists to understand data needs and ensure data infrastructure supports requirements
- Optimize data storage and retrieval for efficient performance and scalability
- Ensure data quality and integrity through 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 analysis, design, build, manage, and operate lifecycle of Enterprise data lake and analytics-focused digital capabilities
- Develop cloud-based (AWS) data pipelines to facilitate data processing and analysis
- Define data operations support and experience with supporting tools
- Build end-to-end data ETL pipelines from data integration to visualization
- Proficient in Python, Spark, SQL, AWS Redshift/DBs, S3, Glue/Glue-Studio, Athena, AI
- Good to have any metadata platform (like CDP-Impala or Okera), Neo4J, IAM, CFT, and other Native AWS Service familiarity with Domino/data lake principles
- Familiarity and experience with Cloud infrastructure management and work closely with 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 data acquisition/operational focused capabilities including: Data Catalog; User Access Request/Tracking; Data Use Request
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