Databricks Developer

EXL Talent Acquisition Team; Gurugram District; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

EXL Talent Acquisition Team in Gurgaon/Bangalore is seeking a Databricks Developer to design, build, and optimize scalable data pipelines and lakehouse solutions using Databricks.

The role requires 5+ years of data engineering experience, strong PySpark/Spark SQL skills, and deep knowledge of Delta Lake, CI/CD, and data quality practices. You will work five days in office, collaborating with stakeholders and managing Databricks clusters to deliver reliable data infrastructure.

Qualifications

• 5+ years of experience in data engineering.
• 2+ years hands-on with Databricks.
• Strong SQL and large-scale data processing.
• Experience with Spark PySpark and Spark SQL.
• Knowledge of Delta Lake and lakehouse patterns.
• Familiar with CI/CD, Git, and DevOps practices.
• Experience with data quality frameworks and data modeling.

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/streaming use cases.
• Implement Delta Lake-based architectures with versioning and schema evolution.
• Collaborate with stakeholders to translate data requirements into scalable solutions.
• Manage and optimize Databricks clusters, jobs, and notebooks for performance and cost.
• Ensure data quality, reliability, and observability through validation dashboards and monitoring.
• Contribute to data modeling, metadata management, and best practices in the data platform.

Skills

Databricks

PySpark

Spark SQL

SQL

Delta Lake

Data pipelines

CI/CD

Git

Data quality

Tools

Git

CI/CD pipelines

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.