Senior Software Engineer Data Engineer

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.

Job Title: Data Engineer ETL, Python/Scala, Apache Spark
Position: Software Engineer
Experience: 5- 7 Years
Category: Software Development/ Engineering
Shift: 1-10PM (Hybrid)
Main location: Bangalore
Position ID: J0926-0282
Employment Type: Full Time

Education Qualification: Bachelor's degree in Computer Science or related field or higher with minimum 3 years of relevant experience.

Position Description: We are looking for an experienced Data Engineer to join our team. The ideal candidate should be passionate about coding and developing scalable and high-performance applications.

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Your future duties and responsibilities
Core Data Engineering
• ETL/ELT Architecture: Design and implement complex data pipelines from disparate sources into our centralized data lake/warehouse.
• Big Data Processing: Leverage Apache Spark (via Dataproc) and Python/Scala to handle petabyte scale transformations.
• Advanced SQL: Write and optimize complex queries for data modeling, ensuring high performance in BigQuery.
• Stream & Batch: Develop real time processing solutions using Pub/Sub and Dataflow (Apache Beam).
GCP Infrastructure
• Orchestration: Manage workflow automation using Cloud Composer (Airflow).
• Storage & Databases: Architect solutions across Cloud Storage, Cloud SQL, and Spanner, choosing the right tool for the specific latency and consistency requirements.
• Environment Management: Ensure security, logging, and monitoring are integrated into every pipeline.

Must-Have Skills:
Programming: Mastery of Python or Scala.
Spark Expertise: Proven experience tuning and debugging Spark jobs at scale.
GCP Professional: Deep hands on experience with the full Google data suite (BigQuery, Dataflow, Dataproc, Pub/Sub).
SQL Mastery: Ability to perform complex window functions, CTEs, and query optimization.
Bonus Points (Good to Have)
AI/ML Integration: Familiarity with Vertex AI and the GCP AI Platform.

Good-to-Have Skills:
GenAI Literacy: A basic understanding of LLMs, prompt engineering, and how data pipelines feed into RAG (Retrieval Augmented Generation) architectures.
Infrastructure as Code: Experience with Terraform for managing GCP resources.