Data Engineering Lead Job in Calfus Technologies India

Data Engineering Lead BI Analytics & DWH

Location: Pune

About Calfus

At Calfus, we build groundbreaking AI agents and enterprise software that are redefining what s possible for businesses. Whether it's automating workflows, integrating ERP systems, or deploying AI-powered solutions, we help companies scale smarter and faster.

Our engineering and data teams are at the core of this innovation designing and delivering high-performance solutions that unlock massive business value. As we grow rapidly, we re looking for driven individuals ready to make a meaningful impact.

About the Role

We re hiring a Data Engineering Lead to own and drive our BI Analytics & Data Warehousing strategy. You'll lead the architecture, development, and optimization of data pipelines, models, and interactive dashboards that power strategic insights across the business.

You ll work hands-on with ETL tools, SQL, Power BI, Tableau, Python, and cloud platforms like Azure and AWS while mentoring junior engineers and collaborating with cross-functional stakeholders.

What You ll Do

Data Architecture & Modeling

• Design and implement scalable data models that support self-service BI and analytical reporting.
• Manage data modeling across structured, semi-structured, and cloud-native data sources.

ETL/ELT & Integration

• Oversee ETL processes using SSIS, Airflow, or equivalent tools for seamless data movement.
• Handle complex data transformation using SQL Server, Postgres, Snowflake, and Redshift.

Visualization & Reporting

• Develop and lead dashboard/report design using Power BI, Tableau, QuickSight, Plotly, or Dash.
• Drive best practices in dashboard performance, UX, and storytelling with data.

Advanced Data Engineering

• Use Python, PySpark, NumPy, and Pandas for data wrangling and exploratory analysis.
• Work with Azure Databricks, MongoDB, and cloud storage (S3, Azure Blob) to build robust pipelines.

Automation & DevOps

• Orchestrate pipelines using Apache Airflow, and implement CI/CD for data engineering workflows.
• Manage version control and code quality across projects using Git-based workflows.

Stakeholder Collaboration

• Partner with business leaders and analysts to translate requirements into scalable data solutions.
• Align technical delivery with strategic business goals and drive cross-functional data initiatives.

Leadership & Mentorship

• Guide and mentor junior team members across data and BI functions.
• Foster a culture of innovation, ownership, and continuous learning.

What You Bring

• Bachelor s in Computer Science, Information Systems, Data Engineering, or related field.
• 6 12 years of experience in BI architecture, data engineering, and analytics.
• Deep expertise in:
  • ETL tools: SSIS, Airflow
  • Databases: SQL Server, Snowflake, Postgres, Redshift, MongoDB
  • BI Tools: Power BI, Tableau, QuickSight, Plotly/Dash
  • Python for data analysis, automation, and pipeline development
  • Cloud Platforms: Azure, AWS (S3, Lambda, Databricks)
• Strong SQL and data modeling skills (relational and dimensional).
• Familiarity with CRISP-DM, data governance practices, and performance tuning.

Bonus Points If You Have

• Experience working with Azure SDK.
• Ability to work with REST APIs and perform web scraping.
• BI architecture design and deployment at scale.

Why Join Calfus?

• Growth-driven culture with clear career paths.
• Work on industry-defining AI and enterprise products.
• Exposure to diverse clients, industries, and technologies.
• Strong focus on wellness, flexibility, and learning.

Benefits

• Medical, group, and parental insurance
• Provident fund & gratuity
• Birthday leave & employee wellness programs
• Highly collaborative and innovative work environment

Diversity & Inclusion

Calfus is an Equal Opportunity Employer. We believe that diversity fuels innovation. We re committed to creating a welcoming and inclusive workplace for everyone regardless of race, gender, age, background, or identity.

Lead the future of data at Calfus. Apply now and help power decision-making through scalable, smart, and stunning data engineering solutions.