Databricks Engineer

We are seeking an experienced Databricks Engineer to join our team. The ideal candidate will have a deep understanding of data engineering with minimum of 3+ years of experience. The role will require deep knowledge of data engineering techniques to create data pipelines and build data assets.

 

Key Responsibilities:
*At least 4+ years of Strong hands on programming experience with Pyspark / Python / Boto3 including Python Frameworks, libraries according to python best practices.
*Strong experience in code optimisation using spark SQL and pyspark.
*Understanding of Code versioning ,Git repository , JFrog Artifactory.
*AWS Architecture knowledge specially on S3, EC2, Lambda, Redshift, CloudFormation etc and able to explain benefits of each.
*Code Refactorization of Legacy Codebase: Clean, modernize, improve readability and maintainability.
*Unit Tests/TDD: Write tests before code, ensure functionality, catch bugs early.
*Fixing Difficult Bugs: Debug complex code, isolate issues, resolve performance, concurrency, or logic flaws.

Role Requirements & Qualifications:
*Design and implement scalable data pipelines and ETL processes on Databricks.
*Optimize existing code using Spark SQL and PySpark to improve performance and resource utilization.
*Ability to work in a fast-paced environment and deliver robust, scalable solutions.
*Strong problem-solving skills and analytical mindset.

Why Join Us:
*Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.
*Continuous investment in employee growth and professional development with a strong focus on up & re-skilling.
*Competitive compensation & benefits, ESOPs and international assignments.
*Supportive environment with healthy work-life balance and a focus on employee well-being.
*Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.