njoyn
Senior Software Engineer - Senior Data Engineer
CGI
Pune, IND
Full-time
Senior · 6+ years experience
Onsite
Discovered 3 weeks ago
Google Cloud PlatformBigQueryApache SparkDataprocPythonScala
Free
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Google Cloud PlatformBigQueryApache Spark
Key Skills for This Role
Google Cloud PlatformBigQueryApache SparkDataprocPythonScala
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Position Description:
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, to help them 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: Senior Data Engineer Position: Senior Software Engineer Experience: 6 - 8 Years Category: Senior Software Development/ Engineering Shift: General Shift Main location: India, Karnataka, Bangalore Position ID: J0426-1666 Employment Type: Full Time Education Qualification: Bachelor's degree in Computer Science or related field or higher with minimum 3 years of relevant experience. #LI-SK38
Your future duties and responsibilities:
- We are seeking a Senior Data Engineer to design, build, and optimize our next-generation data architecture on Google Cloud Platform. You will be responsible for the "heavy lifting" of data—constructing robust ETL pipelines, managing large-scale Spark clusters, and ensuring our BigQuery warehouse is performant and scalable. Beyond core engineering, you will help bridge the gap between traditional data processing and emerging GenAI capabilities, exploring how Vertex AI can be integrated into our production pipelines. Technical Stack & 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.
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