Senior Databricks Developer

EXL; Gurugram District; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

EXL is seeking a Senior Databricks Developer to design, build, and optimize scalable data pipelines and lakehouse solutions using Databricks. Location is Gurgaon/Bangalore with 5 days in-office work.

The role requires 9+ years of experience, including 5+ years in data engineering and 3+ years in Databricks, with strong PySpark, Spark SQL, Delta Lake, and SQL skills. Experience with CI/CD and data quality is essential.

Qualifications

• 5+ years of experience in data engineering with 3+ years hands-on in Databricks.
• Hands-on experience with Spark (PySpark/Spark SQL) and distributed processing.
• Strong SQL knowledge and experience with large-scale datasets.
• Solid understanding of Delta Lake, medallion architecture, and lakehouse patterns.
• Familiarity with CI/CD, Git, and modern DevOps for data pipelines.
• Knowledge of 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 frameworks and end-to-end workflows for batch and streaming use cases.
• Implement Delta Lake-based architectures with versioning and schema evolution.
• Collaborate with stakeholders to translate data requirements 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 and monitoring.

Skills

Databricks

PySpark

Spark SQL

Delta Lake

SQL

CI/CD

Git

Data quality

distributed data processing

observability

Job description

Role: Senior 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: 9+ 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

• 5+ years of experience in data engineering with 3+ 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.