Databricks Developer

EXL; Gurugram District; On-site; INR 1,200,000 - 2,500,000; Full time

Job summary

EXL is hiring a Databricks Developer to design and build scalable data pipelines and lakehouse solutions using Databricks in Gurgaon/Bangalore. The role requires 5+ years of experience and hands-on expertise with PySpark, Spark SQL, Delta Lake, and large-scale data processing.

You will manage Databricks clusters, optimize jobs, and ensure data quality, observability, and cost efficiency while collaborating with stakeholders across teams.

Qualifications

• 3+ years of data engineering experience with at least 2 years in Databricks.
• Hands-on Spark (PySpark/Spark SQL) and distributed data processing.
• Strong SQL skills and large-scale dataset handling.
• Deep understanding of Delta Lake and lakehouse architectures.
• Knowledge of CI/CD, Git, and DevOps for data pipelines.
• Familiarity with data quality frameworks and performance tuning.

Responsibilities

• Design, build, and maintain ETL/ELT pipelines on Databricks using PySpark, Spark SQL and Delta Lake.
• Develop and optimize data ingestion, transformations, and end-to-end batch/streaming workflows.
• Implement Delta Lake-based architectures with versioning, schema evolution, and ACID pipelines.
• Collaborate with stakeholders to translate requirements into scalable data engineering solutions.
• Manage and optimize Databricks clusters, jobs, and notebooks for performance and cost.
• Ensure data quality, reliability, and observability through validation and monitoring.
• Contribute to data modeling, metadata management, and best practices on the data platform.

Skills

Databricks

PySpark

Spark SQL

Delta Lake

SQL

CI/CD

Git

DevOps practices

Data pipelines

Batch and streaming

Tools

Databricks

Spark

Delta Lake

Job description

Job Description

Role: Databricks Developer

The Databricks Data Engineer will be responsible for designing, building, and optimizing scalable data pipelines and lakehouse solutions using Databricks. The role requires strong hands‑on experience in data engineering, distributed data processing.

Location: Gurgaon/Bangalore (5 days mandatory work from office)

Type: Full-time

Experience: 5+ years

Key Responsibilities

• Design, build, and maintain ETL/ELT pipelines on Databricks using PySpark, Spark SQL, and Delta Lake.
• Develop and optimize data ingestion frameworks, data transformations, and end‑to‑end workflows for batch and streaming use cases.
• Implement Delta Lake‑based architectures, including versioning, schema evolution, and ACID‑compliant pipelines.
• Work with stakeholders to understand data requirements and translate them into scalable data engineering solutions.
• Manage and optimize Databricks clusters, jobs, and notebooks for performance and cost efficiency.
• Ensure data quality, reliability, and observability through validation frameworks and monitoring.
• Contribute to data modeling, metadata management, and best practices within the data platform.

Must Have Skills & Experience

• 3+ years of experience in data engineering with 2+ years of hands on expertise in Databricks.
• Hands‑on experience with Spark (PySpark/Spark SQL) and distributed data processing.
• Solid SQL knowledge and experience working with large-scale datasets
• Strong understanding of Delta Lake, medallion architecture, and scalable lakehouse patterns.
• Good understanding of CI/CD, Git, and modern DevOps practices for data pipelines.
• Familiarity with structured/unstructured data, data quality frameworks, and performance tuning.