Senior Data Engineer

As a Senior Data Engineer at Syngenta Crop Protection, you will support analytical data infrastructure, engage with business stakeholders, and deploy high-value datasets. You will create real-time data pipelines, embed quality and intelligent reporting capabilities, and collaborate with data scientists to implement advanced analytics algorithms.

Requirements

• Working with business and technical stakeholders to implement end-to-end data solutions
• Designing and implementing DW Architectures, OLAP technologies, and data models
• Building custom BI and big data reporting solutions using Tableau, OBIEE, Looker, or PowerBI
• Architecting database management systems with Oracle, SQL Server, Postgres, Spark, or Hadoop
• Designing and building real-time analytics platforms with latencies less than a minute
• Collaborating with Data Scientists and building data products that help machine learning teams
• Building data pipelines to extract, load, and transform data using big data technologies

Benefits

• Full Benefit Package (Medical, Dental & Vision)
• 401k plan with company match, Profit Sharing & Retirement Savings Contribution
• Paid Vacation, 9 Paid Holidays, Maternity and Paternity Leave, Education Assistance, Wellness Programs, Corporate Discounts

Tagged as: Data Analysis, Python, SQL