Senior Data Engineer (Snowflake Experience)
Posted on April 8, 2025
Job Description
- Technology : Senior Data Engineer (Snowflake Experience)
- Experience: 7+
- Duration: 2 Months
- Location : Remote
- Working Time: 12:00 PM to 09:00 PM
- We are seeking an experienced Senior Data Engineer with strong expertise in Snowflake to
- lead the design and implementation of data pipelines, data modeling, and optimization in our
- data platform. This individual will be responsible for migrating and transforming data from SAP
- systems, ensuring high performance and scalability of our Snowflake data warehouse.
- Responsibilities:
- * Design, develop, and optimize ETL/ELT pipelines to migrate and transform data from
- SAP to Snowflake.
- * Develop and maintain scalable data models (fact and dimension tables) within
- Snowflake to support analytical use cases.
- * Collaborate with SAP, AtScale, and Power BI teams to ensure seamless data flow across
- the platform.
- * Write and optimize SQL queries in Snowflake for performance, scalability, and data
- integrity.
- * Ensure data quality and consistency in the Snowflake data warehouse.
- * Work with stakeholders to understand data requirements and ensure alignment
- between data architecture and business goals.
- * Continuously monitor and tune data performance, troubleshooting issues as needed.
- Requirements:
- * 5+ years of experience as a Data Engineer, with 3+ years of hands-on experience in
- Snowflake.
- * Expertise in SQL, Snowflake Architecture, and Snowflake best practices (e.g., data
- clustering, partitioning, etc.).
- * Experience working with ETL/ELT tools and integrating data from multiple sources
- (preferably SAP).
- * Strong knowledge of data pipelines, data integration, and cloud data platforms.
- * Familiarity with data modeling principles and best practices for building data
- warehouses.
- * Strong problem-solving skills and experience in optimizing large datasets for query
- performance.
Required Skills
* 5+ years of experience as a data engineer
with 3+ years of hands-on experience in snowflake. * expertise in sql
snowflake architecture
and snowflake best practices (e.g.
data clustering
partitioning
etc.). * experience working with etl/elt tools and integrating data from multiple sources (preferably sap).