Senior Data Engineer

KLA-Belgium; Chennai District; On-site; INR 1,800,000 - 3,000,000; Full time

Benefits offered by this job

Total rewards package

Inclusive environment

Job summary

KLA is seeking a data engineering professional in Chennai to deliver high-impact Snowflake-based ingestion with SAP data integration. The role focuses on building robust, scalable data pipelines and collaborating with BI teams to satisfy analytics requirements.

You will design ELT/ETL workflows, optimize performance, and contribute to governance and security best practices in a fast-paced IT environment.

Qualifications

• 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 orchestration: Informatica, ADF, dbt, or similar; proficiency in Python for automation.
• 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).

Responsibilities

• Design and implement robust ingestion patterns from SAP into Snowflake.
• Build and maintain incremental loads (CDC) and near-real-time ingestion pipelines.
• Understand SAP data domains to map requirements to data models.
• Develop ELT/ETL pipelines leveraging Snowflake features (Snowpipe, Streams & Tasks).
• Create dimensional and data vault models for analytics.
• Implement data quality checks and security controls on SAP extracts.

Skills

Data engineering

SQL (advanced)

Python

CI/CD practices

Education

Doctorate (Academic) Degree

Master's Degree in related field

Bachelor's Degree in related field

Tools

Snowflake

Informatica

ADF

dbt

Git

Job description

To make electronics, you need chips, wafers, transistors, reticles, and... To make these, you must see, test and manufacture them at scale…faster and better than ever before. That's where KLA comes in. Whether you're early in your career or an experienced professional, you'll solve complex challenges, work alongside brilliant minds and help shape the future of technology. Group/Division KLA's IT group supports business growth and productivity by connecting people, process and technology around the world. We work to improve the technology that drives our business to thrive and focus on empowering employee use of technology. This integrated approach to customer service, creativity and technological excellence enhances employee productivity, business analytics and process excellence.

What You'll Do

In this role, you will play a key part in advancing business priorities by delivering high-impact work across your area of expertise.

Group/Division 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.

Job Description/Preferred Qualifications

• 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.
• Build and maintain incremental loads (CDC), batch pipelines, and near-real-time ingestion where needed.
• 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., Snowpipe, Streams & Tasks, Dynamic Tables where applicable).
• 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 Apply security best practices: RBAC, masking policies, row access policies, and secure data sharing patterns as needed.
• Partner with governance teams to maintain metadata, lineage, glossary alignment, and compliance standards.
• Collaboration & Delivery Collaborate with BI developers, analysts, and business stakeholders to translate requirements into scalable datasets.
• 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.

Required Qualifications

• 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: Orchestration: Informatica, ADF, dbt orchestration, or similar 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).

Preferred / Nice to Have

• 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., CDS views, HANA calculation views).
• Experience with BI/visualization tools (Power BI, Tableau, Looker) and building datasets optimized for reporting/semantic layers.

Minimum Qualifications

• 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

Benefits

• We offer a competitive, family friendly total rewards package.
• We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees.

About KLA

We provide advanced inspection tools, metrology systems, process solutions, and computational analytics that make electronics possible, tackling complex challenges. From electron and photon optics to machine learning and data analytics, we seek perfection at the most fundamental level of matter in the universe. If you want to make electronics that push industries forward and make the world a better place, join us.

Use of AI Statement

At KLA, our interviews seek to understand your individual skills, problem-solving approach and authentic thinking. To ensure a fair and consistent evaluation, the use of AI, recording tools or other technologies to generate, suggest or provide responses during interviews - whether virtual or in person is not permitted unless explicitly approved in advance as part of a reasonable accommodation or invited by the interviewer. Use of these tools may interfere with our ability to evaluate your individual qualifications and affect your candidacy. KLA is committed to advancing innovation through responsible AI, and we value candidates who share this mindset.

EEO Statement

KLA is proud to be an equal opportunity employer.

Additional Information

We do not accept resumes from headhunters, placement agencies, or other suppliers that have not signed a formal agreement with us.