Data Engineer at Syngenta Group

Pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

24 May, 26

Salary

0.0

Posted On

23 Feb, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Databricks, AWS, Data Pipelines, Spark, Delta Lake, MLflow, Unity Catalog, SQL, Python, PySpark, Terraform, Data Modeling, Lakehouse Architectures, NoSQL Databases, CI/CD, AI/ML

Industry

Farming

Description

Company Description Syngenta is one of the world’s leading agriculture innovation company (Part of Syngenta Group) dedicated to improving global food security by enabling millions of farmers to make better use of available resources. Through world class science and innovative crop solutions, our 60,000 people in over 100 countries are working to transform how crops are grown. We are committed to rescuing land from degradation, enhancing biodiversity and revitalizing rural communities. 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. To learn more visit: www.syngenta.com Job Description We’re hiring experienced Data Engineer to support large-scale data transformation project. You’ll be embedded within a high-performing team delivering mission-critical data platforms using Databricks and AWS. This is a hands-on engineering role focused on architecture, implementation, and optimization of robust data solutions at scale. Key Responsibilities Design, build, and deploy data pipelines and platforms using Databricks and cloud infrastructure (preferably AWS) Lead or contribute to end-to-end implementation of data solutions in enterprise environments Collaborate with architects, analysts, and client stakeholders to define technical requirements Optimize data systems for performance, scalability, and security Ensure data governance, quality, and compliance in all solutions Required Skills & Experience 7+ years of experience in data engineering Deep expertise with Databricks (Spark, Delta Lake, MLflow, Unity Catalog) Strong experience with cloud platforms, ideally AWS (S3, Glue, Lambda, etc.) Proven track record of delivering complex data solutions in commercial space like Sales, Marketing, Pricing, Customer Insights At least 4 years of hands-on data pipeline design and development experience with Databricks, including specific -platform features like Delta Lake, Uniform (Iceberg), Delta Live Tables (Lake flow Declarative pipelines), and Unity Catalog. Strong programming skills using SQL, Stored Procedures and Object-Oriented Programming languages (Python, PySpark etc.). Experience with CI/CD for data pipelines and infrastructure-as-code tools (e.g., Terraform) Strong understanding of data modeling, Lakehouse architectures, and data security best practices Familiarity with NoSQL Databases and Container Management Systems. Exposure to AI/ML tools (like mlflow), prompt engineering, and modern data and AI agentic workflows. An ideal candidate will have Databricks Data Engineering Associate and/or Professional certification completed with multiple Databricks project delivery experience. Nice to Have Experience with Azure or GCP in addition to AWS Knowledge of DevOps practices in data engineering Familiarity with regulatory frameworks (e.g., GDPR, SOC2, PCI-DSS) AWS Redshift, AWS Glue/ Spark (Python,Scala) Qualifications Bachelor's of Engineering in CS Additional Information Note: 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, gender identity, marital or veteran status, disability, or any other legally protected status. Follow us on: Twitter & LinkedIn https://twitter.com/SyngentaAPAC https://www.linkedin.com/company/syngenta/ India page https://www.linkedin.com/company/70489427/admin/

Responsibilities

The role involves designing, building, and deploying robust data pipelines and platforms using Databricks and cloud infrastructure, primarily focusing on architecture, implementation, and optimization of large-scale data solutions. Key tasks include leading end-to-end data solution implementation and collaborating with stakeholders to define technical requirements.