Senior Cloud Data Engineer

Founded in 1976 CGI is among the largest independent IT and business consulting services firms in the world. With 94000 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 .
Job Title: Cloud Data Engineer
Position: Senior Software Engineer
Experience: 6-10 Years
Category: Software Development/ Engineering
Shift: Hybrid - (1PM to 10 PM Shift)
Main location: Hyderabad
Position ID: J0826-0434
Employment Type: Full Time
Education Qualification: Bachelors degree in Computer Science or related field or higher with minimum 6 years of relevant experience.
Position Description:We are looking for an experienced Senior Cloud Data Engineer with strong expertise in AWS cloud services Python/PySpark SQL Databricks and data engineering. The ideal candidate will be responsible for designing developing and maintaining scalable cloud-native data solutions secure APIs and efficient ETL/ELT pipelines. The role requires hands-on experience in cloud architecture API development and integration Infrastructure as Code (IaC) and DevOps practices to deliver secure reliable and high-performance data platforms.

Design develop and maintain scalable data engineering solutions using AWS cloud services Databricks Python PySpark and SQL.
Build optimize and manage robust ETL/ELT pipelines for data ingestion transformation processing and integration.
Develop and integrate secure scalable REST APIs using AWS API Gateway AWS Lambda and other cloud-native services.
Implement API security mechanisms including OAuth 2.0 JWT IAM policies and appropriate access controls.
Design and manage cloud infrastructure using AWS services such as S3 ECS/EKS CloudFront ALB/NLB KMS and IAM.
Develop and maintain Infrastructure as Code using Terraform to automate infrastructure provisioning and configuration.
Design cloud-native applications and data solutions following software architecture principles design patterns scalability and high availability best practices.
Optimize data processing workloads SQL queries and PySpark jobs to improve performance scalability and cost efficiency.
Implement secure data storage encryption access management and other cloud security best practices.
Collaborate with architects developers DevOps teams and business stakeholders to translate requirements into technical solutions.
Establish and maintain CI/CD pipelines for automated build testing deployment and release management.
Troubleshoot production issues perform root cause analysis and implement preventive measures to improve system reliability.
Develop and maintain technical documentation API specifications architecture diagrams and deployment procedures.

Must-Have Skills
AWS Cloud Services: Hands-on experience with AWS Lambda API Gateway S3 ECS/EKS CloudFront ALB/NLB IAM and KMS.
Python / PySpark: Strong programming skills in Python and experience developing scalable data processing solutions using PySpark.
SQL: Strong SQL skills including complex queries joins aggregations and query optimization.
Databricks: Experience developing and optimizing data processing workloads and ETL/ELT pipelines using Databricks.
Data Engineering: Strong understanding of data ingestion transformation data integration and pipeline development.
API Development & Integration: Experience designing developing consuming and integrating RESTful APIs.
API Security: Hands-on knowledge of OAuth 2.0 JWT authentication authorization and secure API implementation.
Infrastructure as Code: Practical experience with Terraform for infrastructure provisioning and management.
Cloud-Native Development: Understanding of cloud-native application design scalability resilience and distributed systems.
Software Architecture & Design: Knowledge of application design principles design patterns modular architecture and performance optimization.
Good-to-Have Skills
Experience with OpenAPI / Swagger for API documentation specification and contract validation.
Hands-on experience with CI/CD tools such as Jenkins GitHub Actions and GitLab CI.
Knowledge of DevOps practices infrastructure automation and configuration management.
Experience with Docker containerization Kubernetes orchestration and deployment automation.
Experience working in Agile/Scrum environments and collaborating with cross-functional engineering teams.

• AWS Lambda
• AWS S3
• Cloud Native Development
• Databricks
• English
• Infrastructure as a Code
• SQL
• AWS Cloudformation
• Data Engineering
• Data Engineering
• Python

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