Data Engineer - Software Engineer
CGI
Company Profile:
Founded in 1976, CGI is among the largest independent IT and business consulting services firms in the world. With 94,000 consultants and professionals across the globe, CGI delivers an end-to-end portfolio of capabilities, from strategic IT and business consulting to systems integration, managed IT and business process services and intellectual property solutions. CGI works with clients through a local relationship model complemented by a global delivery network that helps clients digitally transform their organizations and accelerate results. CGI Fiscal 2024 reported revenue is CA$14.68 billion and CGI shares are listed on the TSX (GIB.A) and the NYSE (GIB). Learn more at cgi.com
Your future duties and responsibilities
Job Title: Data Engineer
Position: Software Engineer
Experience: 3-5 Years
Category: Software Engineering
Shift: 5.30PM to 2.30AM shift
Work Mode: Hybrid Mode
Primary Location: Chennai
Employment Type: Full Time
Job Role Overview :
We are looking for experienced Data Engineers with strong hands on experience in designing, developing and enhancing modern data engineering solutions. The role will involve working with cloud data platforms, data pipelines, data integration, data transformation and analytics solutions.
The ideal candidate will have strong experience in Snowflake, Databricks and AWS data services, along with good SQL and data engineering fundamentals.
The role will primarily focus on development and enhancement activities, with some involvement in deployment, monitoring and production support as part of the overall application lifecycle.
3–5 Years
- Strong hands on experience in data engineering and ETL/ELT development.
- Good experience with Snowflake, Databricks and/or AWS data services.
- Strong SQL and data transformation skills.
- Exposure to cloud based data platforms and data pipelines.
- Design, develop and maintain scalable data pipelines and data engineering solutions.
- Develop data ingestion, transformation and processing workflows using cloud based technologies.
- Work with Snowflake and Databricks to build and optimize data processing and analytical solutions.
- Develop and maintain data pipelines using AWS Glue, S3 and Lambda.
- Implement data transformation, cleansing, validation and integration processes.
- Develop efficient SQL queries and optimize data processing and warehouse workloads.
- Work with business and technical teams to understand data requirements and translate them into technical solutions.
- Participate in solution design, development, testing and deployment activities.
- Develop reusable components and follow established data engineering and coding standards.
- Troubleshoot data pipeline and application issues and implement appropriate fixes.
- Participate in code reviews, technical discussions and continuous improvement initiatives.
- Support deployment and release activities across environments.
- Monitor data pipelines and proactively identify issues affecting data processing or availability.
- Provide support for production issues when required, including troubleshooting and root cause analysis.
- Maintain technical documentation and operational procedures.
Data Engineering
- Strong understanding of data engineering concepts, ETL/ELT and data pipelines.
- Hands on experience with Snowflake and/or Databricks.
- Experience building data pipelines and data transformation workflows.
- Strong SQL skills.
- Good understanding of data modelling and data warehousing concepts.
Hands on experience with one or more of the following:
- AWS Glue
- Amazon S3
- AWS Lambda
Databricks
- Databricks data engineering
- Data transformation and processing
- Delta Lake
- PySpark and/or Spark
- Notebook based development
- Snowflake development
- Data loading and transformation
- SQL development
- Data warehouse concepts
- Performance optimization
The following skills are not mandatory, but candidates with experience in these areas will be preferred:
- ODI (Oracle Data Integrator)
- OAC (Oracle Analytics Cloud)
- PL/SQL
- Amazon MSK / Kafka
- Datadog
- Python
- PySpark
- CI/CD and DevOps practices
- Git
- Cloud monitoring and logging
- Experience with Oracle databases
Education Qualification :
Bachelor's degree in Computer Science, Information Technology, Engineering or a related discipline.
Key Competencies :
- Strong data engineering and analytical skills
- Good understanding of cloud data platforms
- Strong SQL and data transformation capabilities
- Problem solving and troubleshooting skills
- Good communication and collaboration skills
- Ability to work independently as well as part of a team
- Strong focus on data quality and solution reliability
- Ability to learn and work across new technologies and platforms
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll 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. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.
Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.
You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
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.
Come join our team—one of the largest IT and business consulting services firms in the world.