Data Engineer

SPI's Data Operations team, aids Bayer's Crop Science division to fuel innovations and efficiencies thru data driven decisions. In collaborating with our business partners, we identify opportunities, prioritize, and enable high value digital pipelines and solutions using best practices in data engineering and management.

Educational and Professional requirements

• Minimum of a bachelor's degree in computer science or related discipline
• 4 years of experience in software development including data architecture, design, development, migration, and support.

Required Skills

• Proven experienced in analysis, design, coding, development, testing and maintenance of large data warehouse systems with various heterogeneous source Systems like SAP, SQL Server, Flat files and Legacy systems.
• Proven experience working in cloud environments like AWS and Google Big Query to enable access and use of cloud-based datasets and spin up services in Cloud
• Extensive practice designing and developing ETL data pipelines in relations and non-relational environments using DevOps and Agile software development techniques including experiences in
• a. logical and physical data modeling, schema design, de-normalization techniques for large platforms like Google Big query, Postgres, Informatica, SQL Server using query tools like SQL developer and/or SQL assistance.
• b. Python programming and use of various libraries for task automation, calling APIs, preparing, and transforming data for analysis and digital transformations, etc.
• Excellent oral and written communication and interpersonal skills. Good at documenting including functional specs, procedures, and status updates.
• Ability to work independently with minimum supervision on small and large initiatives
• Proven experience in Python, Java or Scala in developing workflows and/or APIs

Preferred Experiences or Skills

• Previous legacy Monsanto and/or Bayer experience
• Experience using and developing in visualizing platforms like Spotfire and Tableau
• API Development
• CI/CD experience using Jenkins or similar technologies
• Experience automation and deployment of containerized workflows

Preference is local candidates., Hybrid Role- Local Candidates only

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