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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain scalable Snowflake-based data pipelines and ELT workflows for large-scale data processing and analytics.
Develop and optimize complex SQL and PL/SQL scripts, source-to-target mappings, and transformation rules ensuring data quality and performance.
Collaborate with Data Architects, Business Analysts, and application teams to translate business requirements into technical data solutions and support enterprise reporting.
Minimum Requirements
Minimum 3+ years of experience in Data Engineering, ETL/ELT development, and enterprise data integration.
At least 2 years hands-on experience with Snowflake, SQL, and PL/SQL for large-volume data ingestion, transformation, and performance tuning.
Experience with data warehousing concepts including dimensional modeling, source-to-target mapping, and data quality validation.
Work Experience Required: Minimum 3 years relevant experience explicitly mentioned.
Ideal Candidate Profile
Experienced in operating within Agile/Scrum environments and applying Data Engineering best practices.
Strong expertise in Snowflake platform including warehouses, tables, views, stored procedures, and performance optimization.
Skilled in troubleshooting data pipeline failures and implementing operational monitoring and data governance concepts.