Join ABC Fitness and become part of a culture that’s as ambitious as it is authentic. Let’s transform the future of fitness—together!

Our Values

Best Life

We believe great work begins with great people. That’s why our culture is built on respect, trust, and belonging. We create an inclusive environment where every team member can bring their authentic self to work—because diverse perspectives drive innovation and meaningful impact.

Growth Mindset

We are doers, thinkers, and dreamers. At ABC Fitness, your growth is our investment. Through continuous learning, mentorship, and professional development opportunities, we empower you to reach current heights—personally and professionally.

One Team

From day one, you’ll be part of a team that collaborates, celebrates, and cares. We move fast, support one another, and have fun along the way. Because when you thrive, we all thrive.

INTRODUCTION : We are seeking a Senior Data & Analytics Engineer to build and scale the data platform that powers our Revenue Intelligence capabilities.

This role will integrate data from our core go-to-market systems and transform it into trusted, analytics-ready data sets used by Revenue Operations, Finance, Marketing, and leadership teams.

You will work within a modern lakehouse architecture, owning the transformation layer and analytics data models that power reporting, forecasting, and revenue performance insights across the business.

WHAT YOU'LL DO : Build & Maintain the Revenue Data Platform

- Develop and maintain modern ELT pipelines using Microsoft Fabric (Data Factory, Dataflows Gen2, Pipelines), Azure Data Lake Storage Gen2, and dbt or Fabric’s native transformation capabilities.
- Integrate data from key revenue systems such as Salesforce, HubSpot, Marketo, Gainsight, and billing platforms.




- Design and maintain Medallion architecture data models (bronze, silver, gold) within Microsoft Fabric Lakehouse and OneLake, transforming raw ingestion data into clean, analytics-ready datasets backed by Delta Parquet.
- Optimize pipeline performance, reliability, and cost efficiency within Microsoft Fabric, including Spark pool configuration, Capacity Unit management, partitioning strategies, and Delta table maintenance (OPTIMIZE, VACUUM).

Design High-Quality Analytics Data Models

- Build dimensional models using Kimball methodology
- Implement slowly changing dimensions, snapshots, and historical tracking patterns.
- Create curated, self-service datasets supporting pipeline analysis, forecasting, marketing attribution, and revenue reporting.
- Own and evolve the centralized metrics layer, ensuring consistent definitions for key business metrics such as pipeline, bookings, revenue, retention, and growth. - Ensure Data Quality, Observability & Governance
- Implement automated data tests, validation checks, and monitoring using dbt tests, Microsoft Fabric Data Quality capabilities, and Azure Monitor / KQL-based alerting.
- Detect and resolve schema changes, pipeline failures, and data drift.
- Establish observability patterns for pipeline reliability and SLA tracking.
- Support data lineage, documentation, and governance workflows, including PII handling and access controls.



- Support Time-Based & Historical Revenue Analysis
- Maintain robust snapshot frameworks to enable point-in-time analysis.
- Leverage Delta Lake time travel and versioning within Microsoft Fabric to support reproducible analytics and historical reporting, including point-in-time query patterns in OneLake.
- Ensure revenue metrics are stable and trustworthy as operational systems evolve. - Collaborate Across Data & Business Teams
- Partner with Revenue Operations, Marketing Ops, Finance, and Analytics teams to translate business requirements into scalable data models.
- Work closely with analysts and data consumers to ensure datasets are intuitive, accurate, and accessible.
- Participate in data architecture discussions and technical design reviews.
- Mentor analysts or junior engineers on data modeling, SQL, dbt best practices, and Microsoft Fabric Notebook / Lakehouse patterns. - Data Platform & Engineering Practices
- Contribute to data platform standards including modeling conventions, testing frameworks, and deployment workflows.
- Participate in code reviews and maintain high standards for reliability, maintainability, and documentation.
- Support CI/CD practices for dbt models and Microsoft Fabric pipelines using Azure DevOps or GitHub Actions with Fabric REST API deployment patterns.

What Success Looks Like :

- Establish a trusted revenue data layer that becomes the single source of truth for revenue performance across the business.
- Deliver high-quality, reliable datasets that analysts and executives depend on.
- Build scalable modeling frameworks that support the company’s growth and go-to-market strategy.
- Elevate the analytics engineering discipline through best practices, documentation, and thoughtful

📌 Senior Data & Analytics Engineer (Hyderabad)
🏢 ABC Fitness India
📍 Hyderabad