Data Engineer - People Data, Insights & Analytics

Syngenta; Maharashtra; On-site; INR 800,000 - 1,200,000; Full time

Job summary

Syngenta is seeking a Data Engineer to support HR data initiatives. The role involves developing scalable data pipelines, ETL processes, and ensuring data quality and compliance.

Candidates should have 3+ years of experience in data engineering, proficiency in SQL, and familiarity with HR systems like Workday. A Bachelor's degree in Computer Science is preferred. Join us in making agriculture more efficient through data!

Qualifications

• 3+ years experience in data engineering or a similar role.
• Proficiency in SQL and database management.
• Experience with ETL/ELT tools.

Responsibilities

• Design, build, and maintain scalable data pipelines for HR.
• Implement data transformation logic for analytics.
• Ensure data quality and compliance.

Skills

SQL

Data engineering

ETL/ELT tools (e.g., Informatica, Talend)

Python

HR systems experience (e.g., Workday)

Education

Bachelor's degree in Computer Science or related field

Tools

Data warehousing

Business intelligence tools (Tableau, Power BI)

Cloud platforms (Databricks, AWS, Azure)

Job description

Job Description

At Syngenta, our goal is to build the most collaborative and trustworthy team in agriculture, providing top-quality seeds and innovative crop protection solutions that improve farmers' success. As a Data Engineer at Syngenta, you will support the design and development of data foundations that power our analytics and data science initiatives within the HR organization. Your role will require designing, building, and maintaining scalable data pipelines and robust data architectures to ensure high-quality, accessible, and optimized data for data scientists and business analysts.

Key Responsibilities

Data Pipeline Development

• Design, build, and maintain scalable data pipelines for HR data science and analytics initiatives.
• Develop ETL/ELT processes to integrate data across multiple HR platforms such as HRIS, ATS, LMS, Payroll, etc.
• Implement data transformation logic to support analytics and machine learning models.
• Ensure data pipeline reliability, performance, and monitoring.

Data Science Project Support

• Implement data preprocessing workflows for machine learning initiatives.
• Build features and maintain ongoing refresh processes for HR data science models.
• Build automated data validation and quality checks for model inputs.
• Develop and manage custom API integrations for model deployment, and build and support model monitoring infrastructure.

Data Quality & Governance

• Implement data quality frameworks and automated validation processes.
• Ensure compliance with data privacy and governance policies and standards.
• Document data lineage and maintain data dictionaries.
• Support data stewardship activities and resolve data quality issues.

Qualifications

Required Qualifications

Technical Skills

• 3+ years experience in data engineering or a similar role.
• Proficiency in SQL and database management (preferably with cloud platforms).
• Experience with ETL/ELT tools such as Informatica, Talend, or similar.
• Knowledge of programming languages such as Python, R, or Java.
• Familiarity with cloud platforms such as Databricks, AWS Sagemaker, Azure, or GCP.

HR Systems Experience

• Workday experience (HCM, Reporting, or Prism Analytics).
• Understanding of HR data structures and employee lifecycle data.
• Experience with HRIS integrations and data flows.
• Knowledge of HR metrics and KPIs.

Data & Analytics

• Understanding of data modeling concepts and best practices.
• Experience with data warehousing and dimensional modeling.
• Basic knowledge of machine learning workflows and model deployment.
• Familiarity with business intelligence tools such as Tableau, Power BI, or similar.

Preferred Qualifications

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field.
• Advanced Python or Java skills, specifically for data manipulation and API integrations.
• Experience with Apache Spark, Kafka, or other big data technologies.
• Knowledge of DevOps practices and CI/CD pipelines.
• Previous experience in pharmaceutical, agricultural, or regulated industries.

Soft Skills

• Strong problem-solving and analytical thinking abilities.
• Excellent communication skills for technical and business stakeholders.
• Collaborative mindset for working with cross-functional teams.
• Detail-oriented with focus on data accuracy and quality.
• Ability to work in agile development environments.

Equal Employment Opportunity

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.