[Hiring] Senior Data Engineer @Syngenta Group

Role Description

Support analytical data infrastructure providing application, tool, and ad-hoc access to large datasets consisting of complex data types including genomic, phenotypic, environmental, image and geospatial data. Engage with business stakeholders to understand strategic roadmaps and build a technical strategy to support them. Interface with DevOps teams to extract, load, and transform data from a wide variety of data sources using big data technologies.

• Deploy high value, high performance datasets.
• Create and support real-time data pipelines built on AWS technologies.
• Embed quality and intelligent reporting capabilities into data pipelines including detection of anomalies and changes in trends with meaningful alerts and statistics.
• Provide new capabilities and increase efficiency by continually researching the latest big data and visualization technologies.
• Collaborate with data scientists and other tech teams to implement advanced analytics algorithms into data pipelines that exploit rich datasets for statistical analysis, prediction, clustering, and machine learning.
• Improve automation and simplifying data as a service.

Role is fully remote.

Qualifications

• Bachelor’s degree in Engineering (Any), Computer Science, or a related field of study.
• Five (5) years of experience in the position offered or five (5) years of experience as a Data Engineer, Software Engineer, Technology Analyst, or a closely related occupation.
• Five (5) years of experience with:
  • Working with business and technical stakeholders to implement end‐to‐end data solutions including data models, data pipelines, and business intelligence products.
  • Designing and implementing DW Architectures, OLAP technologies, Star schema, Snowflake schema, and Aggregation Techniques.
  • Gathering requirements and 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.
  • Working with data structures and algorithms.
  • Programming and scripting languages including Shell, Python, Scala, or PySpark.
• Three (3) years of experience with:
  • Designing and building real time analytics platform with latencies less than a minute using Kafka, Spark, AWS, or GCP.
  • Working with Datadog to identify issues with data quality and anomalies, and setup alerting.
  • Setting up custom frameworks to identify data quality issues and introduce self-service Business Intelligence capabilities using CI/CD tools including Buildkite, Jenkins, or Gitlab.
  • Collaborating with Data Scientists and building data products that help machine learning teams in clustering, prediction, and statistical analysis.
  • Building data pipelines to extract load and transform data using big data technologies including BigQuery, Redshift, BigTable, Aerospike, Dataproc, or EMR.

Requirements

• Must pass a background check and drug test before beginning employment.

Benefits

• A culture that celebrates belonging and collaboration, promotes professional development, and strives for a work-life balance that supports the team members.
• Flexible work options to support your work and personal needs.
• Full Benefit Package (Medical, Dental & Vision) that starts on your first day.
• 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, among other benefits.