Senior Data Engineer
Senior Data Engineer
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Job Description
Join our cutting-edge team at the forefront of agricultural innovation where youll play a crucial role in our DataOps environment. As a key member of our diverse and talented group youll collaborate with data engineers data scientists and visualization and analytics experts from both IT and R&D backgrounds.
In this dynamic position youll tackle complex data integration challenges and help shape the future of agricultural technology. Your ability to build relationships collaborate effectively and influence outcomes will be instrumental in navigating our data-rich landscape.
This role offers a unique opportunity to:
- Drive innovation in a fast-paced collaborative environment
- Work with state-of-the-art data technologies and methodologies
- Contribute to projects that have a global impact on food security and sustainability
- Develop your skills alongside industry-leading experts
If youre passionate about leveraging data to solve real-world problems and thrive in a challenging interdisciplinary setting we want you on our team.
Accountabilities:
- Build test and maintain robust scalable secure highly available data pipelines and reservoirs that store clean transform and aggregate streaming data.
- Partner closely with architects and the security team; understand the holistic view of edge computing security and data strategy; drive streaming data ingestion from IoT gateway to storage - all in the agriculture IoT realm.
- Expose data as consumable data sources for analytics via APIs data virtualization services (Denodo) and data cloud (Snowflake).
- Continual research of the latest streaming data services and technologies to provide new capabilities and increase efficiency.
- Collaborate with data scientists and other tech teams to implement advanced analytics that exploit our rich datasets for statistical analysis prediction clustering and machine learning.
- Help continually improve automation and simplifying data as a service.
Qualifications :
Required:
- Well versed in cloud services such as Glue S3 Lambda EMR EventBridge and Athena.
- Degree in computer science information science engineering mathematics or related technical discipline and 0-3 years of industry experience in software development data engineering business intelligence data science or related field with a track record of securing manipulating processing and extracting value from large datasets.
- Data Engineering Expertise:
- Proficiency in data integration (ETL/ELT) building and operating distributed systems for large-scale data processing
- Experience with SQL and NoSQL databases including Amazon RDS Snowflake DynamoDB Neo4j and Timestream DB
- Strong programming skills in Python and Java with knowledge of R for statistical analysis
- Technical Skills:
- Data modeling virtualization and transformation
- Ability to identify and address data quality issues
- Familiarity with Agile/DataOps practices and methodologies
Preferred:
- Data streaming technologies (Kinesis Kafka)
- IoT pipelines (AWS IoT Core Kinesis)
- Geospatial data manipulation and storage
- Business rules engines such as Drools
- Data virtualization such as Denodo or Tibco
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. Offers 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 Paid Holidays Maternity and Paternity Leave Education Assistance Wellness Programs Corporate Discounts among other benefits.
Syngenta has been ranked as atop employerby Science Journal.
Learn more about ourteamand ourmission here: 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.
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Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
