Data Engineer

Calfus Inc.; Pune District; On-site; INR 900,000 - 1,500,000; Full time

Benefits offered by this job

Medical insurance

Parental insurance

Provident fund

Birthday leave

Job summary

Calfus Inc. in Pune seeks a Data Engineer to own end-to-end data pipelines and models powering BI and analytics. You'll work in a lakehouse/cloud environment, delivering reliable data products with 3-5 years of hands-on experience.

Collaborate with analysts to translate requirements into scalable data models, build dashboards in Power BI or Tableau, and ensure data quality.

Qualifications

• 3-5 years of hands-on data engineering and ETL/ELT development.
• Delivery experience with Databricks or Snowflake.
• Cloud experience (Azure/AWS/GCP) with delivered projects.
• Strong SQL (PostgreSQL, SQL Server, Snowflake, or Redshift).
• Experience in dimensional modelling (star/snowflake).
• Power BI or Tableau experience creating dashboards.
• Python scripting for data manipulation.
• Knowledge of JSON, Parquet and CSV data formats.
• Bachelor's degree in CS/IS/Data Engineering or related.

Responsibilities

• Build and maintain ETL/ELT pipelines end to end.
• Design and extend dimensional models (star/snowflake) for analytics.
• Work in Snowflake, Databricks, or similar lakehouse platform.
• Create reports/dashboards in Power BI or Tableau.
• Implement data quality checks and resolve data discrepancies.

Skills

Data engineering

ETL/ELT development

Databricks

Snowflake

SQL

Python

Power BI

Tableau

Cloud platforms (Azure/AWS/GCP)

Dimensional modelling

Education

Bachelor's in Computer Science / Information Systems / Data Engineering

Tools

Databricks

Snowflake

Power BI

Tableau

SQL

Python

JSON/Parquet/CSV

Job description

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.

As one of the fastest‑growing companies in our industry, we take pride in fostering a culture of innovation where new ideas are always welcomed—without 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.

About the Role

As a Data Engineer, you'll build and maintain the data pipelines and models that power our business intelligence and analytics stack. This is a hands‑on build role: you'll own pipeline development end to end, work directly in a modern lakehouse or cloud warehouse environment, and stay close enough to the reporting layer to understand how your data gets used. With 3-5 years of experience, you'll have moved past learning the tools and into shipping reliable data products.

What You'll Do

ETL/ELT Development

• Build and maintain ETL/ELT pipelines using Azure Data Factory, Databricks, or equivalent orchestration frameworks
• Ingest data reliably from varied source systems into a centralised data warehouse or lake
• Own pipeline reliability — monitoring, failure handling, and re‑runs

Data Modelling & Warehousing

• Build and extend dimensional and relational models (star, snowflake) for analytics and reporting workloads
• Work in Snowflake, Databricks, or a comparable cloud warehouse/lakehouse platform
• Contribute to schema design decisions, not just implement them
• Write performant SQL for transformation, cleansing and aggregation, including complex joins and window functions
• Tune queries and jobs for cost and runtime

BI Enablement

• Build and support reports and dashboards in Power BI or Tableau
• Work directly with analysts and business users to translate reporting requirements into data models that serve them
• Structure data to enable self‑service BI rather than one‑off report requests

Data Quality

• Implement validation and data quality checks across pipelines
• Investigate and resolve data discrepancies raised by business users

What You'll Need — Must Have

• 3-5 years in data engineering with hands‑on ETL/ELT development
• Databricks or Snowflake at project level - actual delivery experience, not training or certification alone
• Cloud platform experience (Azure, AWS, or GCP) demonstrated through delivered projects
• Strong SQL — SQL Server, Postgres, Snowflake, or Redshift
• Working experience with dimensional modelling — you've built or extended star/snowflake schemas, not only queried them
• Power BI or Tableau — you've built reports or dashboards yourself
• Python for scripting and data manipulation
• Familiarity with JSON, Parquet, CSV
• Bachelor's in Computer Science, Information Systems, Data Engineering, or related

Good to Have

• Azure Data Factory specifically
• Both Databricks and Snowflake
• Delta Lake, Unity Catalog, or medallion architecture exposure
• CI/CD for data pipelines, Git‑based workflows
• dbt or similar transformation frameworks
• Exposure to data governance or cataloguing tools

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. We're committed to creating an inclusive workplace where everyone - regardless of background, identity, or experience - has the opportunity to thrive. We welcome all applicants!