Senior Data Engineer

Company Description

Syngenta is a global leader in agriculture; rooted in science and dedicated to bringing plant potential to life. Each of our 30,000 employees in more than 90 countries work together to solve one of humanity’s most pressing challenges: growing more food with fewer resources. A diverse workforce and an inclusive workplace environment are enablers of our ambition to be the most collaborative and trusted team in agriculture.

Our employees reflect the diversity of our customers, the markets where we operate and the communities which we serve. No matter what your position, you will have a vital role in safely feeding the world and taking care of our planet. Join us and help shape the future of agriculture.

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.

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.
• Lead, coach and develop more junior engineers and IT professionals.
• 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

• 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.
• 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
• Desire to work with Agile/DataOps practices and methodologies
• Experience with continuous integration practices
• Able to write, debug, unit test, and performance test data integration processes
• Able to clearly define data quality issues
• Strong problem solving/critical thinking skills
• Ability to lead, mentor and coach other engineers
• Ability to communicate with, and influence, senior stakeholders

Additional Knowledge, Skills, Traits & Abilities:

• Relational databases including Amazon RD.
• AWS technologies including Redshift/Spectrum, S3/parquet, Glue, EMR, Lambda
• Data streaming technologies (Kinesis, Kafka) desirable
• IoT pipelines (AWS IoT Core, Kinesis) desirable
• Geospatial data manipulation and storage desirable
• Python and Java programming
• R and statistical methods
• Business rules engines such as Drools a plus
• Data modeling and virtualization
• Machine learning

Additional Information

• Full Benefit Package (Medical, Dental & Vision) that starts the same day you do
• 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 others
• A culture that promotes work/life balance, celebrates diversity, and offers numerous family-oriented events throughout the year

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
Equal Employment Opportunity Commission's (EEOC)
Employee Polygraph Protection Act (EPPA)

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