Senior Data Solutions Engineer
17 hours ago
Are you a skilled data solutions engineer looking for a challenging role in the cloud native space? Do you have experience with AWS and related services? If so, we encourage you to apply for this exciting opportunity at Bristol Myers Squibb.
About the Role:
This Senior Data Solutions Engineer position is responsible for developing data solutions and operations support of the Enterprise data lake. The ideal candidate will have 7-10 years of experience in information technology, with a deeper understanding of cloud technologies preferably AWS and related services. They will be responsible for designing, building, and maintaining the data products, evolution of the data products, and utilizing the most suitable data architecture required for our organization's data needs to support GPS. Additionally, they will deliver high-quality data products and analytic-ready data solutions, develop and maintain data models to support reporting and analysis needs, and optimize data storage and retrieval to ensure efficient performance and scalability. The candidate will also collaborate with data architects, data analysts, and data scientists to understand their data needs and ensure that the data infrastructure supports their requirements. Furthermore, they will ensure data quality and integrity through data validation and testing, implement and maintain security protocols to protect sensitive data, and stay up-to-date with emerging trends and technologies in data engineering and analytics. The candidate will also 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 and experience with supporting tools, build e-2-e data ETL pipelines from data integration -> data processing -> data integration -> visualization, and maintain data acquisition/operational focused capabilities including: Data Catalog; User Access Request/Tracking; Data Use Request. The desired candidate will also have proficiency in Python, Spark, SQL, AWS Redshift, AWS S3, Glue/Glue Studio, Athena, IAM, other Native AWS Service familiarity with Domino/data lake principles, and good knowledge of metadata platforms like CDP-Impala or Okera, Neo4J, IAM, CFT & other Native AWS Service familiarity with Domino/data lake principles. Additionally, the candidate will have 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. We offer an estimated annual salary of $115,000-$145,000 based on location and experience.
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