Descripción de la oferta
Experteer Overview In this role you will build and scale data pipelines and analytics capabilities to support data-driven decision making. As part of a cross‑functional Agile analytics team, you will deliver data products and ML-enabled solutions that reveal insights from connected data. You will mentor peers, promote scalable data practices, and evaluate new tools to boost the team’s productivity. This position combines engineering rigor with a focus on business impact in a global agribusiness context.Compensaciones / Beneficios
- Solve complex data problems to deliver actionable insights for business goals
- Create data products to boost analytics and data science productivity
- Mentor and coach data/analytic professionals on standards and practices
- Promote reuse, scalable design, and operational efficiency of data solutions
- Lead evaluation and deployment of new analytic data engineering tools and processes
- Develop education plans on analytic data engineering capabilities, standards, and processes
- Partner with analysts and solutions architects to shape technical architectures for enterprise projects
- Learn about machine learning and data science concepts and workflows
- Ensure timely analysis and testing for ongoing solution maintenanceResponsabilidades
- Post graduate degree in STEM field with 3-5 years of Sr/Lead Data Engineer experience
- Expertise in SQL and data analysis; proficient in Python orScala
- Experience with data lakes or lakehouses
- Experience building solutions on cloud services with streaming and CDC pipelines
- Strong Datalake/DW development using Cloud MPP engines (BigQuery preferred) and various relational, NoSQL, and cloud databases
- Conceptual knowledge of data analytics (dimensional modeling, ETL, data governance, warehousing)
- Experience with Google Cloud Platform data tools (BigQuery, DataStream, DataProc, DataPlex, DataForm)
- Familiarity with Linux
- Strong communication, collaboration, and problem-solving skills
- Agile experience and willingness to adapt to project evolutionRequisitos principales
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