Apply📍 United States
🧭 Full-Time
🔍 Sustainable Agriculture
- Experience with RDBMS (e.g., Teradata, MS SQL Server, Oracle) in production environments is preferred
- Hands-on experience in data engineering and databases/data warehouses
- Familiarity with Big Data platforms (e.g., Hadoop, Spark, Hive, HBase, Map/Reduce)
- Expert level understanding of Python (e.g., Pandas)
- Proficient in shell scripting (e.g., Bash) and Python data application development (or similar)
- Excellent collaboration and communication skills with teams
- Strong analytical and problem-solving skills, essential for tackling complex challenges
- Experience working with BI teams and tooling (e.g. PowerBI), supporting analytics work and interfacing with Data Scientists
- Collaborate with data scientists to ensure high-quality, accessible data for analytical and predictive modeling
- Design and implement data pipelines (ETL’s) tailored to meet business needs and digital/analytics solutions
- Enhance data integrity, security, quality, and automation, addressing system gaps proactively
- Support pipeline maintenance, troubleshoot issues, and optimize performance
- Lead and contribute to defining detailed scalable data models for our global operations
- Ensure data security standards are met and upheld by contributors, partners and regional teams through programmatic solutions and tooling
PythonSQLApache HadoopBashETLData engineeringData scienceRDBMSPandasSparkCommunication SkillsAnalytical SkillsCollaborationProblem SolvingData modeling
Posted about 16 hours ago
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