Senior Data Engineer

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 -

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 -