Data Steward null

Job purpose

Develop and deploy data-based sustainable solutions while working with R&D scientists, and IT & data teams and answer important questions that drive key decisions for our business.

Your task & responsibilities

• Defines data quality rules and implements automated monitoring, reporting, and remediation solutions
• Implements and fine-tunes data governance guidelines, policies, processes, and controls
• Ensures data consistency across multiple systems and business units
• Coordinates design sessions with Stewards, Data Engineers, Engineering teams, Data Scientists, Product
• Managers, business, and/or IT stakeholders, that result in design documentation and business metadata
• capture
• Participates in training and discussions to evangelize these frameworks and objectives - Governance, Data
• Quality, Data Wrangling, and Best Practices.
• Maintains records of adequate data collection, maintenance, and usage
• Implements and utilizes data solutions for data analysis and profiling using a variety of tools such as Postman, R, or Python and following the team’s established processes and methodologies.
• Collaborates with other data stewards and engineers within the team and across teams on aligning delivery dates and integration efforts.
• Utilizes root cause analysis to identify trends and assess the impact of data quality issues
• Supports data migration from legacy systems, data inserts, and updates not supported by applications.
• Understands business capability needs and processes as they relate to IT solutions through partnering with Product Managers and business and functional IT stakeholders.
• Participates in data scraping, data curation, and data compilation efforts. Ensures high quality of the data to end-users.
• Ensures high quality of the in-house data via data stewardship. Ensures adoption of taxonomy and ontology for the compiled data to end-users.
• Has digital mindset and knowledge of Python/R programming to automate Data stewardship workflows.
• Participates in Open Data efforts, making data FAIR (Findable, Accessible, Interoperable, and Reusable) to strengthen the effectiveness

Who you are

Education;

• Master’s/Bachelor's Degree in Computer Science, Engineering, Crop Science, Agriculture, or another related field.

Working Experience

Solid experience in areas such as;

• Relevant business domain
• Querying SQL and/or NoSQL databases
• Managing data using APIs
• Semantic Intelligence and Knowledge Graph
• Manipulating data using scripting languages and/or data processing software (e.g. Python, R, Pipeline Pilot) and Data management/governance /ETL applications such as Tibco EBX, Talend, or Indigo)
• Profiling data, summarizing, and reporting data quality metrics
• Ability to deliver detailed technical documentation
• Experience handling sensitive data.
• Experience in designing data catalogs, including data design, metadata structures, object relations, catalog population, etc.
• Knowledge of modern engineering technologies and data principles, for instance: Big Data
• Cloud Computing, NoSQL, etc.
• Understanding of data architecture and modeling
• Knowledge of industry data practice/governance models (DAMA, CMMI, DGI, etc.) and data strategy frameworks (Gartner, St Gallen, etc.)
• Knowledge of data management best practices
• Knowledge of business or data domain within a business unit
• Ability to understand agile development, continuous deployment, DevOps, and decision science – AI, ML, etc.