Snowflake data engineer

Job description: ETL/ELT Expertise: 5+ years of experience designing and migrating datasets from heterogeneous on-premises sources to Snowflake cloud data warehouse. Data Migration Methodology: Strong understanding of profiling, cleansing, and validation processes. Data Warehousing: Solid knowledge of dimensional modeling and data architecture principles. Source Systems: Hands-on experience ingesting data from SAP ECC, SAP S/4, SAP BI, SAP HANA, on-prem SQL databases (Oracle, MySQL, SQL Server, PostgreSQL), and structured/semi-structured datasets. Tools & Technologies: Proficiency in SAP BODS, Fivetran, Airbyte, ADF, Python, and other ELT tools for Snowflake migrations. Snowflake & Analytics: Advanced SQL skills, dbt experience, and strong Snowflake expertise. Programming: Practical knowledge of Python, SQL, and Linux scripting. Orchestration: Experience with Airflow or similar workflow orchestration tools. Preferred: Exposure to Snowflake AI/ML capabilities. Reporting Tools: Experience in developing PowerBI Reporting is an added plus. Soft Skills: Ability to work independently with high-level requirements, troubleshoot effectively, and deliver quick resolutions.