Senior Data Engineer

ExlService Holdings, Inc.; Gurugram District; On-site; INR 1,800,000 - 2,400,000; Full time

Benefits offered by this job

On-site in Gurugram and Bengaluru

Job summary

ExlService Holdings, Inc. is hiring a Sr. Data Engineer in Gurugram/Bengaluru to design, build, and optimize scalable data pipelines and lakehouse solutions using Databricks. You will work hands-on with PySpark, Spark SQL, and Delta Lake to deliver robust data platforms.

The role involves collaborating with data scientists and business teams, managing Databricks clusters, and integrating pipelines with cloud services. A strong background in CI/CD, SQL, and data quality is essential.

Qualifications

• 8+ years of experience in data engineering with Databricks.
• Hands-on experience with Spark (PySpark/Spark SQL) and distributed data processing.
• Strong 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.
• Education: Bachelor’s degree in computer science, Software Engineering, MIS or equivalent combination of education and experience.

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.
• Integrate Databricks pipelines with cloud services (Azure Data Lake / AWS S3, Event Hub/Kafka, Synapse/Redshift, etc.).
• Ensure data quality, reliability, and observability through validation frameworks and monitoring.
• Contribute to data modeling, metadata management, and best practices within the data platform.
• Collaborate closely with data scientists, analysts, and business teams to support analytics and ML workloads.

Skills

Databricks

PySpark

SQL

Delta Lake

CI/CD

Git

DevOps

Data Quality

Performance Tuning

Education

Bachelor's degree in Computer Science

Bachelor's degree in Software Engineering

Bachelor's degree in MIS

Tools

Azure Data Lake

AWS S3

Event Hub/Kafka

Synapse/Redshift

Job description

Role: Sr. Data Engineer

Location: Gurugram & Bangalore

Work Mode: Work from Office [5 Days from office]

Role Overview

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.

Key Role and 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.
• Integrate Databricks pipelines with cloud services (Azure Data Lake / AWS S3, Event Hub/Kafka, Synapse/Redshift, etc.).
• Ensure data quality, reliability, and observability through validation frameworks and monitoring.
• Contribute to data modeling, metadata management, and best practices within the data platform.
• Collaborate closely with data scientists, analysts, and business teams to support analytics and ML workloads.

Must Have

• 8+ years of experience in data engineering with strong 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. Education: Bachelor’s degree in computer science, Software Engineering, MIS or equivalent combination of education and experience

Key Skills: Databricks, Pyspark, SQL