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Senior Cloud Data Engineer

CGI

Full time
Experience
6–10 years
Location
India
Work mode
Not stated
Salary
₹11L – ₹24L a year estimatetypical for IT Jobs in India, 908 posts
Posted 22 hr ago

You apply on CGI's website. CoreHRx takes you there after you sign in.

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Role at a glance

Experience
6–10 years
Education
Bachelor's degree
Must-have skills
API GatewayAWSAWS LambdaApache SparkCloud ArchitectureCloudFormation

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Job description

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 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: 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: Bachelor's 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.

Your future duties and responsibilities:

• 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.

Required qualifications to be successful in this role:

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.

Skills:

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

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.

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.

Key skills

Required

API GatewayAWSAWS LambdaApache SparkCloud ArchitectureCloudFormationData EngineeringDatabricksDesign PatternsELTETLIAMJWTKey Management (KMS)OAuth 2.0PythonQuery OptimizationREST API DevelopmentSQLTerraform

Preferred

AgileCI/CDDockerGitHub ActionsGitLab CIJenkinsKubernetesScrum

Job market insights

101active API Gateway jobs in India
2,440active AWS jobs in India
35active AWS Lambda jobs in India
₹11L – ₹24L advertised yearly salary for IT Jobs in India (middle half of 908 posts that show a salary; median ₹17L)
37 more open jobs at CGI

Jobs asking for API Gateway in India also ask for

  • AWS84%
  • CI/CD63%
  • Python47%
  • Java41%
  • Docker40%

From live job posts on CoreHRx, updated 3 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.

Questions about this job

What is the salary for this Senior Cloud Data Engineer job?

The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹11L – ₹24L a year (typical for IT Jobs in India, 908 posts).

How much experience does this job need?

The post asks for 6–10 Yrs experience.

What kind of job is this?

It is a full time job.

How do I apply?

You apply on CGI's website. CoreHRx takes you there after you sign in.

This page is for Indian job seekers preparing for cloud engineer, DevOps, backend and solutions architect roles that list AWS as a skill, whether you are a fresher with a first certification or an experienced engineer moving into a senior role. It covers 60 questions in three levels: core services and concepts, then design and configuration choices for one to three years of experience, and finally scenario, security, cost and troubleshooting questions asked in senior rounds. Read each answer, explain it aloud in your own words, and try the CLI commands in a practice account with a billing alert set.

Questions you may be asked

  1. What is the difference between an AWS Region and an Availability Zone?
  2. Explain the AWS shared responsibility model.
  3. What is Amazon EC2, and how do you read an instance type name like m7g.large?
  4. What is Amazon S3, and what are its main storage classes?

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