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Salary
≈ $20k – $41k per year (Estimated)
Location
In office (Pune)
Seniority
Senior · 6+ years exp

First seen by Alion on Aug 24, 2026.

Overview
Company
Impact
Profile match
Most AI deployments stop at assistants and copilots. Calfus goes further, building orchestrated, policy-aware AI systems designed for auditable decisions and.

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 were actively looking for skilled professionals to strengthen our in-house expertise and help us deliver exceptional AI, software engineering, and solutions using enterprise applications.


As one of the fastest-growing companies in our industry, we take pride in fostering a culture of innovation where new ideas are always welcomedwithout hesitation. We are driven and expect the same dedication from our team members. Our speed, agility, and dedication set us apart, and we perform best when surrounded by high-energy, driven individuals.


To continue our rapid growth and deliver an even greater impact, we invite you to apply for our open positions and become part of our journey!


About the role :


As a Senior Data Engineer BI Analytics & DWH, you will contribute to building scalable data infrastructure and efficient data pipelines that power our business intelligence and analytics capabilities. With 69 years of experience, youll apply your solid foundation in ETL/ELT development, data modeling, and database design to support data warehousing and data lake initiatives. You will also assist in enabling data visualization through tools like Tableau or Power BI.


What Youll Do :


ETL/ELT Development :


- Design, build, and maintain efficient ETL and ELT processes using tools such as Azure data factory, Databricks, or similar orchestration frameworks.


- Ensure reliable data ingestion from various sources into centralized storage systems (DWH/data lakes).


Data Modeling & Warehousing :


- Design relational and dimensional data schemas tailored to business use cases in data lakes or traditional data warehouses (e.g., Snowflake, Redshift, Postgres).


- Develop and maintain data models optimized for analytics and reporting.


Database Engineering :


- Write efficient SQL queries and stored procedures to transform, clean, and aggregate data.


- Manage data transformations and complex joins to support analytical workloads.


BI & Visualization Support :


- Provide basic support for report and dashboard development in visualization tools such as Tableau or Power BI.


- Collaborate with analysts and business users to understand reporting needs and enable self-service BI.


Performance & Data Quality :


- Monitor and troubleshoot data pipelines and warehouse jobs to ensure timely and accurate data availability.


- Apply basic data quality checks and validations to ensure trustworthiness of data outputs.


On your first day, we'll expect you to have :


- Bachelors degree in Computer Science, Information Systems, Data Engineering, or a related field.


- 6 to 9 years of experience in data engineering with hands-on ETL/ELT development and data modeling.-


- Solid SQL skills and experience with database systems such as SQL Server, Postgres, Snowflake, or Redshift.


- Exposure to cloud-based services and data tools (e.g., AWS S3, Azure Data Factory, Databricks, Lambda functions).


- Basic understanding of data serialization formats like JSON, Parquet, or CSV.


- Familiarity with Python for scripting and data manipulation.


Bonus : Exposure to visualization tools such as Power BI, Tableau for dashboard/report creation will be a plus.


Benefits :


At Calfus, we value our employees and offer a strong benefits package. This includes medical, group, and parental insurance, coupled with gratuity and provident fund options. Further, we support employee wellness and provide birthday leave as a valued benefit.


Calfus is an Equal Opportunity Employer.


We believe diversity drives innovation. Were committed to creating an inclusive workplace where everyone - regardless of background, identity, or experiencehas the opportunity to thrive. We welcome all applicants!

Skills

Data Engineering, Business Intelligence, ETL, Data Modeling, Data Warehousing, SQL, Data Quality, Snowflake DB, Python, AWS, Azure Data Factory

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