Data Engineer

Were Concentrix. A new breed of tech company Human-centered. Tech-powered. Intelligence-fueled.

We create game-changing solutions across the enterprise, that help brands grow across the world and into the future. We are trusted by clients across all major sectors, from up-and-coming success stories to iconic Fortune Global 500 brands in over 70 countries spanning 6 continents.

Our game-changers:

* Challenge Conventions

* Deliver outcomes unimagined

* Create experiences that go beyond WOW

If this is you, we would love to discuss career opportunities with you.

In our Information Technology and Global Security team, you will deliver the latest technology infrastructure, transformative software solutions and industry-leading global security for our staff and clients. You will work with the best in the world to design, implement and strategize IT, security, application development, innovation, and solutions in todays hyperconnected world. You will be part of the technology team that is core to our vision of develop, build and run the future of CX.

Concentrix provides eligible employees with an opportunity to enroll in many benefit programs, generally including private medical plans, great compensation package, retirement savings plans, paid learning days, and flexible workplaces. Specific benefits plans will vary by country/region.

Were a remote-first company looking for the absolute best talent in the world. Experience the power of a game-changing career.

Role: Data Engineer

Location & Work Details

• Location: Hyderabad
• Work Mode: Work from Office (5 days/week)
• Shift Timings: 2:00 PM 11:00 PM IST

Required mandatory Skill Set :

• Data Modeling
• Azure Databricks
• Python & PySpark
• SQL
• Unity Catalog (Data Governance)
• AI-assisted tools (GenAI, Cursor, Genie, etc.)

Key Requirements

• Minimum 4+ years of experience as a Data Engineer
• Strong expertise in designing and developing scalable data pipelines using Azure Databricks
• Hands-on experience with Unity Catalog for data governance and management
• Proficiency in building and optimizing data models (Star Schema, Medallion Architecture Bronze/Silver/Gold)
• Strong programming skills in Python (PySpark) and SQL
• Experience working with cross-functional teams to gather and translate data requirements
• Ability to ensure data quality, reliability, and pipeline performance
• Exposure to AI-assisted development tools to improve productivity

Detailed Job Description :

• 4+ years of experience in Data Engineering within Azure & Databricks ecosystem
• Strong hands-on experience in building large-scale data pipelines using PySpark & SQL
• Experience with modern data platform architectures (Data Lakes, Warehouses, Medallion Architecture)
• Hands-on exposure to Unity Catalog & governance practices
• Strong understanding of data modeling & warehouse design principles
• Basic experience in ML-based analytics (feature engineering, experimentation, simple models)
• Hands-on usage of AI tools (Copilot, Cursor, Genie, etc.)
• Familiarity with Git, Agile practices, and data integration tools
• Exposure to Power BI
• Strong learning mindset and adaptability

Key Responsibilities

• Lead data migration from legacy systems to Databricks-based Data Lake/Warehouse
• Perform data consolidation from multiple sources into a unified repository
• Build and maintain reliable Databricks workflows and pipelines
• Ensure data quality, integrity, and performance optimization
• Develop and maintain technical documentation for pipelines, workflows, and data models