Senior Data Engineer
KLA Corporation (company site, opens in a new tab)5–7 yrsChennaiOn-siteDirect career pageEst. 18–30 LPA
Posted on 21 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design and implement robust SAP data ingestion and integration pipelines into Snowflake, including incremental loads and near-real-time ingestion.
- Develop, optimize, and maintain ELT/ETL pipelines and data models (dimensional and data vault) for cross-functional analytics with data quality and reconciliation controls.
- Monitor and tune Snowflake performance and cost; apply data governance and security best practices including RBAC, masking, and compliance alignment.
Minimum Requirements
- 5–7 years of data engineering experience with hands-on Snowflake development.
- Strong experience integrating SAP data (S/4HANA/ECC/BW/HANA) into analytics platforms or data warehouses.
- Proficient in advanced SQL, performance tuning in cloud warehouses, and pipeline orchestration tools such as Informatica, ADF, or dbt.
- Bachelor's degree with minimum 5 years related work experience, Master's degree with 3 years, or Doctorate with 0 years related experience.
Ideal Candidate Profile
- Experienced in enterprise SAP data domains (FI/CO, MM, SD, PP) and capable of mapping business requirements to data models.
- Proficient in production-grade pipeline automation and orchestration using Python and CI/CD practices (Git, code reviews, deployment pipelines).
- Skilled in collaborative Agile environments, translating business needs into scalable datasets and delivering iterative improvements with engineering rigor.