Lead Databricks Developer

Position Description :

At CGI, we’re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72, professionals located in 40 countries. Founded in , CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve. At CGI, we’re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72, professionals located in 40 countries. Founded in , CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve results for our clients - and for our members. Come grow with us. Learn more at is a great opportunity to join a winning team. CGI offers a competitive compensation package with opportunities for growth and professional development. Benefits for full-time, permanent members start on the first day of employment and include a paid time-off program and profit participation and stock purchase plans. We wish to thank all applicants for their interest and effort in applying for this position, however, only candidates selected for interviews will be contacted. No unsolicited agency referrals please

Job Title : Lead data bricks developer

Position : Lead Analyst

Experience : 8-10 Years

Category : Software Development / Engineering

Main location : India, Bangalore / Pune / Chennai / Hyderabad

Position ID : J-

Employment Type : Full Time

Your future duties and responsibilities :

Lead data bricks developer with 7-9 years of experience

We are seeking a skilled Azure Databricks Developer to design, develop, and optimize big data pipelines using Databricks on Azure. The ideal candidate will have strong expertise in PySpark, Azure Data Lake, and data engineering best practices in a cloud environment.

Key Responsibilities :

Design and implement ETL / ELT pipelines using Azure Databricks and PySpark.

Work with structured and unstructured data from diverse sources (e.g., ADLS Gen2, SQL DBs, APIs).

Optimize Spark jobs for performance and cost-efficiency.

Collaborate with data analysts, architects, and business stakeholders to understand data needs.

Develop reusable code components and automate workflows using Azure Data Factory (ADF).

Implement data quality checks, logging, and monitoring.

Participate in code reviews and adhere to software engineering best practices.

Required Skills & Qualifications :

5+ years of experience in Apache Spark / PySpark.

5+ years working with Azure Databricks and Azure Data Services (ADLS Gen2, ADF, Synapse).

Strong understanding of data warehousing, ETL, and data lake architectures.

Proficiency in Python and SQL.

Experience with Git, CI / CD tools, and version control practices.

Required qualifications to be successful in this role :

Experience : 8 to 10 years

Location : Bangalore / Pune / Chennai / Hyderabad

Skills : Azure Databricks , PySpark.

Education : BE / B.Tech / MCA / BCA

Skills :

ETL

SQL