Data Steward

Overview

Data Steward for Chesterfield, MO to design & deliver global breeding data pipelines; perform data & pipeline setup to meet project timelines; participate in open data efforts; coordinate intake, preparation & resolution of data support tickets for cross-functional stakeholders; define data quality rules & implement automated monitoring, reporting and remediation solutions; apply root cause analysis to prevent or reduce data quality issues;

support data migration from legacy systems, data inserts & updates. Requires Master’s in C.S., Data Science, I.T. or closely-related field and 2 yrs experience profiling data & summarizing and reporting data quality metrics; manipulating data accessed by APIs using scripting languages, including Python, R, Pipeline Pilot and/or ETL; querying SQL and/or No

SQL databases, including Oracle & Google Cloud Platform using Big Query, to deploy and leverage data analytics; using Cloud computing services, including AWS and/or Google Cloud, to perform big data analysis & democratize results; identifying & resolving data quality issues using Pipeline Pilot protocols; generating & delivering detailed technical reports by leveraging data visualization tools, including Spotfire and Tableau; using APIs to automate & integrate data quality solutions;

and creating technical documentation, including procedure guides, data dictionary definitions & database table and/or column descriptions, to enrich metadata and enable data discovery. Telecommuting permitted from home office location within reasonable commuting distance of Chesterfield, MO up to 3 wks per month. Salary Range:
Employees can expect to be paid a salary between $95,000.00 to $. Additional compensation may include a bonus or commission (if relevant). Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc. The offered salary may vary within this range based on an applicant’s location, market data/ranges, an applicant’s skills and prior relevant experience, certain degrees and certifications, and other relevant factors.

• Design and deliver global breeding data pipelines and perform data and pipeline setup to meet project timelines.
• Participate in open data efforts and coordinate intake, preparation and resolution of data support tickets for cross‑functional stakeholders.
• Define data quality rules and implement automated monitoring, reporting and remediation solutions.
• Apply root cause analysis to prevent or reduce data quality issues.
• Support data migration from legacy systems and data inserts and updates.
• Profile data, summarize and report data quality metrics, and manipulate data accessed by APIs using scripting languages such as Python, R, Pipeline Pilot and ETL.
• Query SQL and No
  
  SQL databases (including Oracle and Big Query on Google Cloud Platform) to deploy and leverage data analytics.
• Use cloud computing services (AWS and Google Cloud) to perform large‑data analysis and democratize results.
• Identify and resolve data quality issues using Pipeline Pilot protocols.
• Generate and deliver detailed technical reports using data visualization tools (Spotfire and Tableau).
• Automate and integrate data quality solutions using APIs.
• Create technical documentation including procedure guides, data dictionary definitions and database table/column descriptions to enrich metadata and enable data discovery.

Email resumes to or mail resumes to Cascinda Fischbeck, Bayer Research and Development Services LLC, 800 N. Lindbergh Blvd., E2NE, St. Louis, MO 63167. Include reference code below with your resume.

Bayer Research & Development Services LLC is an Equal Opportunity Employer. Bayer Research & Development Services LLC is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information above.