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 efficient 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 (Bengaluru)
🏢 StatusNeo Technology Consulting
📍 Bengaluru