Your Job
As a
Data Engineer with Koch Capabilities India, you will help design, build, and operate cloud‑native data pipelines that power analytics and AI‑enabled decision making across Koch businesses. This role focuses on modern data engineering practices, strong fundamentals on AWS and Snowflake, and the effective use of AI‑assisted tools to improve speed, quality, and reliability of data solutions.
You will work on scalable, production‑ready pipelines while developing skills that support advanced analytics and AI/ML use cases.
Our Team
You will join Koch Capabilities India's data and analytics leveraged capability, partnering with data engineers, data scientists, analysts, and business stakeholders globally. The team builds shared data platforms and solutions that accelerate insights, improve automation, and create long‑term business value across the Koch enterprise.
What You Will Do
- Design, build, and support scalable data pipelines using AWS services such as AWS Glue, AWS Lambda, Amazon S3, AWS Secrets Manager, and Amazon CloudWatch
- Develop and maintain Snowflake data models and ELT workflows to support analytics and AI/ML use cases
- Apply sound data modeling practices to create reliable, analytics‑ready data structures
- Use AI‑assisted tools to accelerate development, improve code quality, automate testing, and enhance documentation
- Support AI/ML use cases by preparing feature‑ready datasets and assisting with experimentation and production workloads
- Implement automated data validation, basic anomaly detection, and performance monitoring using AI‑enabled capabilities
- Collaborate with data scientists, analysts, and business partners to translate requirements into scalable data solutions
- Contribute to automation‑first approaches across data ingestion, transformation, deployment, and monitoring
- Follow best practices for data security, governance, access control, and data quality
- Troubleshoot pipeline issues using monitoring tools and AI‑assisted diagnostics
- Document data flows, pipelines, and operational processes using AI‑assisted documentation tools
Who You Are (Basic Qualifications)
- 3–5 years of experience in data engineering or a closely related role
- Hands‑on experience with AWS services such as AWS Glue, AWS Lambda, Amazon S3, Amazon CloudWatch, and AWS Secrets Manager
- Working experience with Snowflake, including writing optimized SQL and supporting performance‑efficient ELT workflows
- Proficiency in SQL (Snowflake), Python, and PySpark
- Experience using Git for version control and managing codebases for development and deployment
- Demonstrated use of AI‑assisted tools for faster development, troubleshooting, testing, or documentation
- Exposure to supporting analytics or AI/ML‑driven platforms
- Understanding of modern data architectures and distributed data processing concepts
- Experience working in Agile and DevOps‑oriented environments
- Willingness to adopt AI‑ready best practices and automation‑driven solutions
What Will Put You Ahead
- Exposure to SAP, SAP BW, or SAP‑based source systems
- Familiarity with data lineage, metadata, or data governance concepts
- Experience with CI/CD automation for data pipelines
- Exposure to AI‑driven ETL, data quality, or pipeline monitoring tools
- Experience with enterprise scheduling tools such as Stonebranch
- Domain exposure to supply chain or manufacturing data
At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.
Who We Are
At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company.
Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results.
