Sr Data Engineer - Hybrid

Durham, NC, United States

Full Time Senior-level / Expert USD 76K - 150K *
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Company Description

Syngenta Group is one of the world’s leading sustainable agriculture innovation companies, with roots going back more than 250 years. Our 53,000 people across more than 100 countries strive every day to transform agriculture through tailor-made solutions for the benefit of farmers, society and our planet – making us the world’s most local agricultural technology and innovation partner. Syngenta Group is committed to operating at the highest standards of ethics and integrity. This is a commitment that we are making to investors, customers, society and employees. Syngenta Group is also committed to maintaining a workplace environment free from discrimination and harassment.

Job Description

Be a member of an innovative team working in a collaborative DataOps environment assembled from data engineers, data scientists, visualization and analytics experts drawn from IT and R&D teams.  Relationship building, collaboration and influencing will be key in an environment of data complexity and difficult data integration challenges.  We are hiring two Data Engineers on this team.

This position will be located in Durham, NC and available for a hybrid work schedule.

Accountabilities

  • Support an 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 in AWS cloud including Glue, EMR, and Lambda.
  • Deploy high value, high performance datasets in Snowflake.
  • Creation and support of real-time data pipelines built on AWS technologies including Glue, S3, Lambda, EMR, EventBridge, Athena, Kinesis, and IoT Core.
  • Embed quality and intelligent reporting capabilities into data pipelines including detection of anomalies and changes in trends with meaningful alerts and statistics.
  • Continual research of the latest big data and visualization technologies to provide new capabilities and increase efficiency.
  • Collaborate with data scientists and other tech teams to implement advanced analytics algorithms into our data pipelines that exploit our rich datasets for statistical analysis, prediction, clustering and machine learning.
  • Help continually improve automation and simplifying data as a service.

Qualifications

Requirements

  • Degree in computer science, information science, engineering, mathematics or related technical discipline.
  • 8+ years of industry experience in software development, data engineering, business intelligence, data science, or related field with a track record of manipulating, processing, and extracting value from large datasets.
  • Hands on AWS experience including Glue, Redshift, S3
  • Strong experience with data integration (ETL/ELT) concepts.
  • Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
  • Knowledge of, and experience with data transformation technologies and tools
  • Experience with SQL and NoSQL technologies
  • Experience with continuous integration practices
  • Able to write, debug, unit test, and performance test data integration processes

Preferred Skills

  • Data streaming technologies (Kinesis, Kafka) desirable
  • Experience in a scientific data setting preferred
  • IoT pipelines (AWS IoT Core, Kinesis) desirable
  • Geospatial data manipulation and storage desirable
  • Python and Java programming
  • Business rules engines such as Drools a plus
  • Data modeling and virtualization

Additional Information

What we Offer

  • A culture that celebrates diversity & inclusion, promotes professional development, and strives for a work-life balance that supports the team members
  • We offer flexible work options to support your work and personal needs
  • Full Benefit Package (Medical, Dental & Vision) that starts 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

Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status

Family and Medical Leave Act (FMLA)

(http://www.dol.gov/whd/regs/compliance/posters/fmla.htm)

Equal Employment Opportunity Commission's (EEOC)

(http://webapps.dol.gov/elaws/firststep/poster_direct.htm)

Employee Polygraph Protection Act (EPPA)

(http://www.dol.gov/whd/regs/compliance/posters/eppa.htm)

 

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* Salary range is an estimate based on our salary survey 💰

Tags: Athena AWS Big Data Business Intelligence Computer Science Data pipelines DevOps Distributed Systems ELT Engineering ETL Kafka Kinesis Lambda Machine Learning Mathematics NoSQL Pipelines Python R R&D Redshift Research Snowflake SQL Statistics Streaming

Perks/benefits: 401(k) matching Career development Flex hours Flex vacation Health care Medical leave Parental leave

Region: North America
Country: United States
Job stats:  2  0  0
Category: Engineering Jobs
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