KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The creative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D.; Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. The Information Technology (IT) group at KLA is involved in every aspect of the global business. IT's mission is to enable business growth and productivity by connecting people, process, and technology. It focuses not only on enhancing the technology that enables our business to thrive but also on how employees use and are empowered by technology. This integrated approach to customer service, creativity and technological excellence enables employee productivity, business analytics, and process excellence.

SAP Data Ingestion & Integration
Design and implement robust ingestion patterns from SAP source systems (S/4HANA/ECC/BW/HANA) and other cloud source systems into Snowflake using enterprise-approved integration tools.




Understand SAP functional domains and data structures (e.g., FI/CO, MM, SD, PP ) to map business requirements to data models.

Snowflake Data Engineering & Modeling
Develop and optimize ELT/ETL pipelines leveraging Snowflake capabilities (e.g., Create and maintain curated dimensional and/or data vault models , conformed dimensions, and reusable fact tables for cross-functional analytics.
Implement data quality checks , reconciliation controls (source-to-target), and exception handling for SAP extracts.

Performance, Cost, and Reliability Optimization
Tune queries and pipelines for performance using clustering strategies, caching awareness, pruning, warehouse sizing, and workload separation.
Monitor and manage Snowflake consumption and performance recommend cost controls (warehouse scheduling, auto-suspend/auto-resume, resource monitors).

Data Governance & Security
RBAC , masking policies, row access policies, and secure data sharing patterns as needed.
Contribute to Agile ceremonies and deliver iterative improvements with high engineering standards.
Document pipelines, models, SLAs, and operational runbooks participate in on-call/production support rotations as required.

5-7 years of experience in data engineering,



with hands-on development in Snowflake .

- Strong experience integrating SAP data into analytics platforms or data warehouses.
- Strong SQL skills (advanced joins, window functions, query optimization) experience with performance tuning in cloud warehouses.
- Experience building production-grade pipelines using one or more of:
- Transformation: dbt , stored procedures, Snowflake SQL scripting, or equivalent

Proficiency in Python (or comparable language) for automation, data processing, and pipeline utilities.
Understanding of data modeling concepts (dimensional modeling, normalization, data vault basics).
Experience with CI/CD practices (Git, code reviews, deployment pipelines) and environment management (dev/test/prod).

Palantir Foundry experience (pipeline development, curated datasets, permissions/lineage) and Ontology experience (Objects/relationships).
Familiarity with SAP S/4HANA data models and performance concepts (e.g., Experience with BI/visualization tools ( Power BI, Tableau, Looker ) and building datasets optimized for reporting/semantic layers.

Doctorate (Academic) Degree and 0 years related work experience Master's Level Degree and related work experience of 3 years Bachelor's Level Degree and related work experience of 5 years

KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers.

📌 Senior Data Engineer -IT (Chennai)
🏢 KLA
📍 Chennai