Position Description:
We are looking for an experienced Data Engineer with strong expertise in SQL, Python, PySpark, ETL/ELT processes, data modeling, and data pipeline development. The ideal candidate will have hands-on experience with cloud data platforms, Databricks, Snowflake, data lakes, and orchestration tools. The role involves designing and developing scalable batch and real-time data pipelines while implementing data quality, security, and governance practices to ensure reliable, secure, and efficient data processing.

#LI-SP40

Your future duties and responsibilities:

Design, develop, and maintain scalable data pipelines using SQL, Python, and PySpark.
Build and optimize ETL/ELT processes to support data integration and transformation.
Develop and maintain data models to support analytics and business requirements.
Work with cloud data platforms, Databricks, Snowflake, and data lakes.
Develop and manage batch and real-time data pipelines.
Implement and maintain data orchestration workflows.
Optimize data pipeline performance, scalability, and reliability.
Implement data quality checks and validation processes to ensure data accuracy and consistency.
Apply data security and governance practices across data engineering workflows.
Collaborate with cross-functional teams to understand data requirements and deliver reliable data solutions.

Required qualifications to be successful in this role:

Must-Have Skills:
Solid expertise in SQL and Python.
Hands-on experience with PySpark.
Strong understanding of ETL/ELT processes.
Experience in data modeling and data pipeline development.
Hands-on experience with cloud data platforms.
Experience with Databricks and Snowflake.




Knowledge of data lakes and data integration.
Experience with data orchestration tools.
Experience building scalable batch and real-time data pipelines.
Experience implementing data quality, security, and governance practices.
Good-to-Have Skills:
Experience optimizing large-scale data processing and transformation workflows.
Experience improving data pipeline performance and reliability.
Familiarity with cloud-based data architecture and scalable data solutions.
Experience implementing automated data validation and quality monitoring.
CGI is an equal opportunity employer. In addition, CGI is committed to providing accommodation for people with disabilities in accordance with applicable legislation. Please let us know if you require reasonable accommodation due to a disability during any aspect of the recruitment process, and we will work with you to address your needs.
Life at CGI:
It is rooted in ownership, teamwork, respect and belonging. Here, youll reach your full potential because
You are invited to be an owner from day 1 as we work together to bring our Dream to life. Thats why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape CGIs strategy and direction.

Come join our team, one of the largest IT and business consulting services firms in the world.

Skills:

- Azure
- Data Analysis
- Data Modeling
- Databricks
- Python

What you can expect from us:

That same commitment to fairness extends to how we use technology. To support our recruitment team, AI tools may be used to help assess applications though they never replace human judgement. All hiring decisions remain entirely in the hands of our recruitment professionals.

📌 Data Engineer (Bengaluru)
🏢 CGI
📍 Bengaluru