We are looking for an experienced Snowflake / SQL Developer with 6–10 years of experience in Data Engineering, Data Warehousing, ETL/ELT development, and cloud-based data platforms.

The ideal candidate should have strong hands-on expertise in Snowflake and Advanced SQL, with experience in developing scalable data warehouse solutions, building ETL/ELT pipelines, optimizing queries, implementing data security, and supporting analytics and reporting requirements.

Experience with AWS and Python is preferred but not mandatory.

Key Responsibilities

Design, develop, and maintain scalable Snowflake data warehouse solutions.
Develop complex and optimized SQL queries, stored procedures, functions, and data transformations.
Work extensively with Snowflake databases, schemas, tables, views, stages, warehouses, and file formats.
Develop and maintain ETL/ELT data pipelines for batch and incremental data processing.
Implement and manage Snowflake Streams, Tasks, and Snowpipe.
Perform SQL and Snowflake query optimization and performance tuning.
Implement data loading, transformation, validation,



and reconciliation processes.
Design and maintain data models including Star Schema, Snowflake Schema, fact and dimension tables.
Implement appropriate Snowflake security, RBAC, and access controls.
Troubleshoot data pipeline failures and performance issues.
Collaborate with Data Engineers, Architects, Analysts, and business stakeholders.
Follow Git, CI/CD, Agile, and DevOps practices.
Develop Python scripts for automation and data processing where required.
Work with AWS services such as S3, Glue, IAM, and Lambda where applicable.
Prepare technical documentation and participate in knowledge-sharing activities.

Required Skills

6+ years of experience in Data Engineering, ETL, or Data Warehousing.
Robust hands-on experience with Snowflake.
Excellent proficiency in Advanced SQL.
Strong knowledge of:
Complex joins
CTEs
Subqueries
Window functions
Stored procedures
Query optimization
Perfo

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