
Snowflake Data Engineer
21 hours ago
Role : Snowflake Data Engineer
Mode of Working : Remote
Working Hours : 2 :00 PM 11 :00 PM IST
Experience Required : 7 to 13 years
Job Description :
Responsible for designing, developing, and maintaining data solutions within the Snowflake cloud data platform, with a strong emphasis on ETL/ELT processes involving S4 HANA to Snowflake, advanced SQL and Python scripting, and modern data warehousing.
Key Responsibilities :
- Design, develop, and maintain data solutions using the Snowflake cloud data platform.
- Build robust ETL/ELT pipelines from S4 HANA to Snowflake.
- Write and optimize complex SQL queries, stored procedures, and user-defined functions (UDFs) for analytics and reporting needs, while adhering to best practices for readability and performance.
- Implement and maintain data models within Snowflake, leveraging advanced data warehousing and ETL concepts.
- Work with Snowflake, SQL, Python scripting, and integrate with AWS and/or Azure cloud services.
- Utilize SNP Glue for building and maintaining data integration pipelines.
- Collaborate with stakeholders and technical teams to gather requirements, manage projects, and deliver scalable solutions.
- Incorporate leading practices in data fabrics and cloud-based architectures and apply knowledge of AI solutions where beneficial.
- Integrate Power BI for reporting and visualization.
Required Skills and Experience :
- Deep expertise in Snowflake, advanced SQL, and data modelling best practices.
- Extensive experience in ETL/ELT processes, especially involving S4 HANA to Snowflake.
- Proficiency in Python scripting, especially its use with Snowflake.
- Experience working with AWS and/or Azure cloud data services, with knowledge of data fabrics and related cloud solutions.
- Proven experience with SNP Glue integration.
- Knowledge of AI solutions is an added advantage.
- Familiarity with Power BI for data visualization and reporting.
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