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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, popular mid-level data role, metro and broad skill requirements increase applicant competition.
Requires SAP domain knowledge and Snowflake expertise, moderately limiting cross-industry transferability.
Strict years plus specific Snowflake, SAP ingestion, dbt, and Python requirements increase filtering.
Job Description
Structured overview of role & requirementsAbout 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.