About the Company
Ganit | Build What Matters. Shape What's Next. Ganit is a global Data and AI engineering company transforming how enterprises think, decide, and operate. Founded in 2017, we specialize in Data Engineering, AI/ML, Generative AI, Agentic AI, Advanced Analytics, and Cloud Technologies, building intelligent, production-ready solutions that deliver measurable business impact. Partnering with leading enterprises across BFSI, Retail, CPG, Healthcare, Pharmaceuticals, and Manufacturing, we solve complex business challenges through the power of data, engineering, and AI. At Ganit, innovation isn't confined to ideas, and careers aren't limited by titles.

We offer
opportunities to work on meaningful enterprise challenges, collaborate with talented minds, gain global exposure, and take ownership of solutions that make a difference. We value curiosity, independent thinking, continuous learning, and the courage to challenge the expected. If you're driven by difficult problems, excited by emerging technologies, and ready to make your work count, there's a place for you at Ganit. Join Ganit. Where Your Ideas Find Purpose, and Your Potential Finds Prospect. Website URL: www.ganitinc.com

About the Role
Role: Senior Data Engineer

Location:
Bangalore, Mumbai, Gurgaon Summary We are seeking a skilled Senior Data Engineer to drive the development and implementation of robust data solutions that create long-term value for our organization and its clients. In this pivotal role, you will act as a strategic bridge between technical teams and business stakeholders, leveraging your expertise to design scalable data architectures and optimize cloud migration efforts. As a leader within our team, you will be responsible for orchestrating complex data pipelines, ensuring data governance, and delivering innovative analytical solutions that empower businesses to make data-driven decisions with confidence and speed. Responsibilities




• Design and deploy efficient data pipelines utilizing formats such as JSON, Parquet, CSV, and ORC for both batch and streaming ingestion.
• Lead cloud migration initiatives by developing scalable Spark pipelines and optimizing code for on-premises to cloud transitions.
• Implement Medallion Architecture principles by creating and maintaining Bronze, Silver, and Gold tables to ensure scalable data systems.
• Optimize Spark code performance to enhance efficiency during cloud migration and data processing operations.
• Develop and sustain comprehensive data models while enforcing strict governance practices.
• Establish cataloging strategies using Unity Catalog to maintain high standards of data quality and integrity.
• Direct the design and implementation of Delta Live Tables (DLT) pipelines to ensure secure and tamper-resistant data management.
• Collaborate closely with clients to refine cloud migration strategies and uphold best practices in system design and governance. Qualifications
• Possess a minimum of Four years of hands-on experience in data engineering, specifically within complex pipeline development and cloud-based data migration projects.
• Hold a Bachelor's degree or higher in Computer Science, Data Engineering, or a related technical field. Required Skills
• Demonstrate proficiency in Spark, SQL, Python, and other essential data processing technologies.
• Show deep expertise in optimizing Spark code for cloud environments and implementing Medallion Architecture.
• Maintain strong knowledge of Databricks and its components, including the implementation of Delta Live Table (DLT) pipelines.
• Have familiarity with AWS services, with additional exposure to GCP or Azure being a significant advantage.
• Exhibit excellent communication and collaboration skills to work effectively with both clients and internal cross-functional teams. Preferred Skills
• Hold relevant certifications in AWS, GCP, or Azure Data Engineering (preferred).

📌 Senior Data Engineer (Bengaluru)
🏢 Ganit
📍 Bengaluru