Senior Data Engineer

Job Description/Preferred Qualifications

Job Description/Preferred Qualifications

SAP Data Ingestion & Integration

• Design and implement robust ingestion patterns fromSAP source systems(S/4HANA/ECC/BW/HANA)and other cloud source systems into Snowflake using enterprise-approved integration tools.
• Build and maintainincremental 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 optimizeELT/ETL pipelinesleveraging Snowflake capabilities (e.g.Snowpipe Streams & Tasks Dynamic Tableswhere applicable).
• Create and maintaincurated dimensional and/or data vault models conformed dimensions and reusable fact tables for cross-functional analytics.
• Implementdata 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 schedulingauto-suspend/auto-resumeresource 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

• 57 yearsof experience in data engineering with hands-on development inSnowflake.
• Strong experience integratingSAP datainto analytics platforms or data warehouses.
• Strong SQL skills (advanced joins window functions query optimization); experience withperformance tuningin 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 inPython(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 Foundryexperience (pipeline development curated datasets permissions/lineage) andOntologyexperience(Objects/relationships).
• Familiarity withSAP S/4HANAdata 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; Masters Level Degree and related work experience of 3 years; Bachelors Level Degree and related work experience of 5 years

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.

KLA is proud to be an equal opportunity employer

Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview to become an employee or for equipment. Further KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLAs Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication an interview an offer of employment or that an employee is not legitimate please send an email to to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

Minimum Qualifications

Doctorate (Academic) Degree and 0 years related work experience; Masters Level Degree and related work experience of 3 years; Bachelors Level Degree and related work experience of 5 years

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.

KLA is proud to be an equal opportunity employer

Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview to become an employee or for equipment. Further KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLAs Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication an interview an offer of employment or that an employee is not legitimate please send an email to to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.