Job Description
Senior Databricks Developer
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- Location: Gurgaon / Bangalore (5 Days Mandatory Work from Office)n
- Employment Type: Full-Timen
- Experience: 9+ Yearsn

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nAbout the Role
nWe are seeking an experienced Senior Databricks Developer to design, develop, and optimize scalable data pipelines and up-to-date Lakehouse solutions on the Databricks platform. The ideal candidate will have strong expertise in Data Engineering, distributed data processing, ETL/ELT development, and cloud-based data platforms, along with the ability to lead and mentor a small team.
nKey Responsibilities
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- Design, develop, and maintain scalable ETL/ELT pipelines using Databricks, PySpark, Spark SQL, and Delta Lake.n
- Build and optimize data ingestion frameworks, transformation workflows, and end-to-end data processing solutions for both batch and streaming workloads.n
- Implement and manage Delta Lake architectures, including schema evolution, time travel/versioning, and ACID-compliant data pipelines.n
- Collaborate with business stakeholders, architects,



and cross-functional teams to gather requirements and deliver scalable data solutions.n
- Manage, monitor, and optimize Databricks clusters, jobs, workflows, and notebooks to improve performance and cost efficiency.n
- Ensure data quality, reliability, and observability through robust validation, monitoring, and alerting frameworks.n
- Contribute to data modeling, metadata management, governance standards, and platform best practices.n
- Lead and mentor a team of 2-3 engineers while driving technical excellence and delivery.n

nRequired Skills & Experience
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- 9+ years of overall IT experience with 7+ years in Data Engineering.n
- Minimum 5+ years of hands-on Data Engineering experience, including 3+ years of strong Databricks expertise.n
- Strong understanding of Data Warehouse (DWH) concepts, ETL methodologies, and data integration standards.n
- Hands-on experience with PySpark, Spark SQL,

📌 Lead Data Engineer (Gurugram)
🏢 EXL
📍 Gurugram