Interesting Job Opportunity: Calfus Inc - Senior/Lead Data Engineer - ETL/Data Warehousing

Calfus Inc.; Maharashtra; On-site; INR 1,200,000 - 2,000,000; Full time

Benefits offered by this job

Medical insurance

Parental insurance

Gratuity

Provident fund

Birthday leave

Job summary

Calfus Inc. is seeking a Data Engineer BI Analytics & DWH to contribute to building scalable data infrastructure and pipelines powering our business intelligence and analytics capabilities.

With 6-9 years of experience, youll apply your solid foundation in ETL/ELT development, data modeling, and data warehousing, and you will assist in enabling data visualization through Tableau or Power BI. Join us to design efficient data schemas, develop data models, and ensure timely, accurate data for

Qualifications

• Bachelor's degree in CS/IS/related field.
• 6–9 years of experience in data engineering and data warehousing.
• Strong SQL skills and experience with cloud data tools.
• Exposure to ETL/ELT development and data modeling.
• Familiarity with Python scripting for data manipulation.

Responsibilities

• Design, build, and maintain ETL/ELT processes using Azure Data Factory or Databricks.
• Design relational and dimensional data schemas for data lakes and warehouses.
• Write efficient SQL queries and manage data transformations.
• Provide BI support with Tableau or Power BI for dashboards and reports.
• Monitor data pipelines and ensure data quality and timeliness.

Skills

Data engineering

ETL/ELT development

SQL

Data modeling

Data warehousing

Python scripting

BI basics

Education

Bachelor's degree in Computer Science / related field

Tools

Azure Data Factory

Databricks

Snowflake

Redshift

Postgres

AWS S3

Tableau

Power BI

Job description

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.

About The Role

As a 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 6-9 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 You'll 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.
• 3 to 4 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. 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!