Description

You will design, implement, and optimize Snowflake data pipelines and cloud data infrastructure.

This role is on-site.

Responsibilities

• Design and maintain ELT/ETL workflows using Azure Data Factory and Snowflake stages, streams, tasks, and stored procedures.
• Build and optimize Snowflake warehouses, schemas, tables, views, and materialized views for performance and cost efficiency.
• Manage data ingestion from structured, semi-structured (JSON, Parquet, Avro), and unstructured sources using COPY INTO, Snowpipe, or integrations.
• Implement performance tuning via SQL query optimization, clustering keys, micro-partitioning, and compute sizing.
• Ensure data security, lineage, and governance using Snowflake RBAC, masking policies, row-access policies, and audit frameworks.

Required Skills

• 7+ years of experience with Snowflake SQL, Snowflake Scripting, Tasks, Streams, and Pipes.
• Strong Python programming skills for automation and data engineering tasks.
• Experience integrating Snowflake with Azure cloud ecosystems.
• Proficiency with BI tools such as Power BI and Tableau.
• Expertise in data modeling using star schema, snowflake schema, and 3NF.
• Ability to handle structured and semi-structured data formats including JSON, Parquet, and Avro.
• Experience with data ingestion mechanisms and performance tuning techniques.

Preferred Skills

• Participation in architecture discussions, code reviews, and solution design.
• Collaboration with data architects, analysts, and application teams.

Key Skills

Education

Any Graduate