Senior Data Engineer
Job Summary
Company Overview
Group/Division
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
- 57 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; 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
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Required Experience:
Senior IC
Key Skills
About Company
Calling the adventurers ready to join a company that's pushing the limits of nanotechnology to keep the digital revolution rolling. At KLA, we're making technology advancements that are bigger—and tinier—than the world has ever seen. Who are we? We research, develop, and manufacture t ... View more