Data Engineer & Analyst – Data Pipelines & Analytics (Backend)

About the role

If you're a visionary professional with a passion for data-driven strategy, digital innovation, and operational excellence – this is your opportunity to make a difference at scale. Step into a role where your expertise fuels transformation. Shape the future with us.

What you'll do

• Architect, develop, and maintain scalable and resilient data pipelines using Kubeflow and Python, enabling efficient ingestion, transformation, and enrichment
• Ensure seamless integration of various internal and external data sources into Snowflake, converting them into relational formats optimized for reporting and analytics
• Build up operational frameworks for logging and monitoring across data pipelines and systems
• Data Modeling & AI/ML Enablement
• Design Snowflake-based data models tailored for AI/ML readiness, supporting e.g. predictive analytics, anomaly detection, or automated alerting systems

What you need

• 3–6 yrs of experience
• ETL
• Analytics
• Machine learning
• Python
• SQL
• Snowflake
• B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA or M.Sc

Good to have

• MLOps
• Git
• Power BI
• Data visualisation
• Data modelling