Data Engineer - Snowflake

Ovii's Interpretation of the Role

We are seeking a senior Data Engineer specialized in Snowflake to design, build, and optimize data pipelines and warehouses, leveraging Python, SQL, AWS Glue, and Azure DevOps.

Role Snapshot

• Design and maintain scalable ETL/ELT pipelines
• Develop and tune Snowflake data warehouses
• Create data integration workflows with AWS Glue and Airflow
• Write Python and SQL for data transformation
• Implement CI/CD using Azure DevOps
• Collaborate with analysts, scientists, and product stakeholders

Must-Have Requirements

• Snowflake
• SQL
• Python
• AWS Glue
• Apache Airflow
• Azure DevOps
• Data modeling & warehousing
• Agile/Scrum
• Data Engineering
• Snowflake architecture
• AWS Glue integration
• Airflow orchestration
• Azure DevOps CI/CD

Nice-to-Have Signals

• Large‑scale data migration
• AWS cloud services exposure
• Data governance & security best practices
• Snowflake or cloud certifications
• Familiarity with cloud‑based data solutions and best practices
• large‑scale data migration
• AWS cloud ecosystem
• data governance

Work Setup

• Location: Gurugram, India
• Work mode: ONSITE
• Employment type: Full-Time

What You'll Likely Work On

• Design, develop, and maintain high‑volume ETL/ELT pipelines
• Build and optimize data models, warehouses, and lake solutions
• Orchestrate data integration using AWS Glue and Apache Airflow
• Manage Snowflake performance, query tuning, and cost control
• Write efficient Python scripts and SQL queries for transformation
• Set up CI/CD pipelines and automated deployments via Azure DevOps
• Partner with data analysts, scientists, product managers, and business stakeholders
• Ensure data quality, governance, security, and compliance across platforms

Good Fit If You Have

• Experience with large‑scale data migration projects
• Exposure to broader AWS cloud services
• Knowledge of data governance and security best practices
• Relevant Snowflake or cloud certifications