Role: Data Bricks Developer

Experience: 5+ Years

Location: Gurgaon OR Bangalore

Work Mode: Work From Office [5 Days Office]

POSITION SUMMARY

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.

ROLES 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.

• Ensure data quality, reliability, and observability through validation




frameworks and monitoring.

• Contribute to data modeling, metadata management, and best practices within
the data platform. REQUIRED QUALIFICATIONS

• 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.

• Valuable 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: Data Engineering, Python, Pyspark, Azure Cloud, Azure Data Bricks

📌 Assistant Manager (Bengaluru)
🏢 EXL
📍 Bengaluru