Role & responsibilities
Design, develop, and maintain scalable data pipelines and ETL processes.
Work extensively with Snowflake to build and optimize data warehouses.
Develop automation scripts and data workflows using Python.
Manage and integrate data across cloud platforms, primarily AWS (S3, Lambda, Glue, Redshift, etc.).
Write productive and optimized SQL queries for data extraction, transformation, and reporting.
Collaborate with data analysts, scientists, and business stakeholders to deliver high-quality data solutions.
Ensure data quality, security, and compliance with organizational standards.
Monitor and troubleshoot data pipelines to ensure reliability and performance.

Preferred candidate profile




Solid expertise in Snowflake (data modeling, performance tuning, warehouse management).
Proficiency in Python for data engineering tasks (automation, scripting, API integration).
Hands-on experience with AWS services (S3, Glue, Lambda, Redshift, EC2).
Advanced knowledge of SQL (complex queries, stored procedures, optimization).
Experience with ETL tools and frameworks.
Familiarity with CI/CD pipelines and version control (Git).
Understanding of data governance, security, and compliance best practices.

📌 Data Engineer Gurugram
🏢 StatusNeo Technology Consulting
📍 Gurugram