About Calfus At Calfus, we are known for delivering cutting-edge AI agents and products that transform businesses in ways previously unimaginable. We empower companies to harness the full potential of AI, unlocking opportunities they never imagined possible before the AI era. Our software engineering teams are highly valued by customers, whether start-ups or established enterprises, because we consistently deliver solutions that drive revenue growth. Our ERP solution teams have successfully implemented cloud solutions and developed tools that seamlessly integrate with ERP systems, reducing manual work so teams can focus on high-impact tasks.
None of this would be possible without talent like you Our global teams thrive on collaboration, and we're actively looking for skilled professionals to strengthen our in-house expertise and help us deliver exceptional AI, software engineering, and solutions using enterprise applications.
Our speed, agility, and dedication set us apart, and we perform best when surrounded by high-energy, driven individuals.
As a Senior Data Engineer – BI Analytics & DWH , you will lead the design and implementation of enterprise-grade business intelligence and data warehousing solutions that empower our organization to make data-driven decisions at scale. You will leverage your deep expertise in Snowflake and/or Databricks , contemporary ETL/ELT frameworks, and cloud-native architectures to build scalable, high-performance data platforms. ETL/ELT Development:
Architect, build, and maintain scalable ETL and ELT pipelines using Databricks, Snowflake, Azure Data Factory , or similar orchestration frameworks.
Drive reliable, high-volume data ingestion from heterogeneous sources into centralized storage systems (DWH/data lakes).
Data Modelling & Warehousing:
Design and own relational and dimensional data schemas tailored to complex business use cases in data lakes and modern warehouses (e.g., Snowflake, Databricks Lakehouse , Redshift, Postgres).
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📌 Senior Engineer, Data Engineering (Pune)
🏢 Calfus
📍 Pune