Position Description:

As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, databases, and analytics solutions.
Your expertise in data engineering tools and platforms will drive the efficient processing, storage, and retrieval of data.
You’ll collaborate with data scientists, analysts, and other stakeholders to ensure data availability, quality, and reliability.

Your future duties and responsibilities:

Responsibilities:

Data Pipeline Development:
• Design, implement, and optimize data pipelines for ingesting, transforming, and loading data from various sources.
• Use ETL (Extract, Transform, Load) processes to move and transform data efficiently.
• Ensure data consistency, accuracy, and timeliness.
Database Management:
• Work with relational databases (such as PostgreSQL, MySQL, or Oracle) and NoSQL databases (like MongoDB or Cassandra).
• Design schema, create tables, and manage data storage.
• Optimize database performance and query execution.

Tech Stack:
• Programming Languages: Proficiency in Python, Java, or Scala for data processing and scripting.
• Big Data Technologies: Familiarity with Apache Hadoop, Spark, and Kafka.
• Data Warehousing: Experience with data warehousing solutions (e.g., Amazon Redshift, Google BigQuery, Snowflake).
• Cloud Platforms:
- Google Cloud Platform (GCP):
- Designing and deploying scalable, highly available, and fault-tolerant systems on GCP.
- Managing and provisioning GCP infrastructure using Infrastructure as Code tools (e.g., Terraform, Google Cloud Deployment Manager).
- Automating GCP operations using scripting languages (Python, Bash) and GCP SDKs or APIs
Collaboration:
• Work closely with data scientists and analysts to understand their data requirements.
• Collaborate with cross-functional teams to ensure seamless integration of data solutions.
• Participate in architectural discussions and provide technical guidance.

Required qualifications to be successful in this role:

Qualifications:
Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, or related fields.

Experience:
• Minimum 3-5 years of experience in data engineering.
• Proficiency in SQL and database design.
• Familiarity with data modeling and schema design.
Desired Skills:
• Data Security: Understanding of data security best practices.
• Monitoring and Troubleshooting: Ability to monitor and troubleshoot data pipelines using tools like GCP Stackdriver and Cloud Monitoring.
• Automation: Experience automating data processing tasks using scripting languages (Python, Bash).

#LI-MT1

Skills:

• Data Analysis
• Data Warehousing
• Database

What you can expect from us:

Together, as owners, let’s turn meaningful insights into action.

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.

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