SAP DS + Snowflake Professional @ Apptad

We are looking for a skilled Data Engineer with hands-on experience in SAP Data Services (SAP DS) and Snowflake to join our growing data engineering team. In this role, you will be responsible for designing, building, and maintaining data integration pipelines and ETL processes that move and transform data from SAP and other source systems into our Snowflake data warehouse.

• Design, develop, and manage ETL workflows and jobs using SAP Data Services to extract, transform, and load data from various source systems (especially SAP ERP/SAP BW) into Snowflake.
• Implement data ingestion, transformation, and load strategies into Snowflake, ensuring high performance and scalability.
• Create and maintain Snowflake objects (e.g., tables, views, stages, file formats, procedures).
• Monitor and optimize ETL job performance and troubleshoot data pipeline issues.
• Ensure data quality, consistency, and reliability throughout the pipeline.
• Collaborate with business and analytics teams to understand data needs and deliver solutions.
• Maintain documentation related to data mappings, workflows, job designs, and data dictionaries.
• Support data governance, compliance, and security initiatives.

• 3+ years of experience working with SAP Data Services (BODS) for ETL development.
• 2+ years of hands-on experience with Snowflake SQL development, performance tuning, and architecture.
• Strong experience with data modeling, especially in a cloud data warehouse environment.
• Solid understanding of ETL best practices, error handling, and performance optimization.
• Experience in integrating data from SAP ECC, SAP BW, or other enterprise systems.
• Strong SQL skills and experience working with structured and semi-structured data (e.g., JSON, XML).
• Knowledge of data warehousing principles and methodologies.
• Strong analytical and problem-solving skills.