Data Engineer
Full Time
full-time
5 Nov 2025
Verified by Turrior
Content + Source + Freshness • 17 Dec 2025 • 95% confidence
82 / 100
Offer value
High value due to strong employer brand, clear career progression, and competitive compensation within the data engineering field.
- Competitive compensation aligned with industry standards
- Strong career growth in data engineering field
- Critical role in developing data-driven solutions
Pros
- Involvement in cutting-edge data solutions and architecture
- Strong focus on improving data quality and efficiency
- Opportunities for career advancement in data and AI
Cons
- Requires significant experience in DevOps and cloud technologies
- Fast-paced projects may lead to high-pressure conditions
- Limited flexibility in work hours due to project requirements
Who it's for
Mid to Senior Level • Primarily office-based with some hybrid flexibility
Good fit
- Mid to senior-level data engineers
- Professionals with a focus on DevOps and cloud technologies
- Candidates eager to lead data solution development
Not recommended for
- Entry-level professionals without technical experience
- Individuals avoiding high-pressure project environments
- Candidates uninterested in data engineering challenges
Motivation fit
Interest in shaping robust data solutionsDesire to work with new technologies and frameworksWillingness to tackle complex data challenges
Key skills
Proficiency in DevOps practices and toolsExperience with ETL processes and data pipelinesStrong analytical and problem-solving skills
Score: 82/100 AI verified analysis
About the job
Project Role : Data Engineer
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : DevOps
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and contribute to the overall data architecture, ensuring that the solutions you develop are scalable and efficient. Roles & Responsibilities: - Design, deploy, and manage containerized applications using Docker and Kubernetes. -Build and maintain CI/CD pipelines for automated deployments and testing. -Implement and manage infrastructure as code using tools such as Terraform/Ansible. -Monitor system performance, availability, and security using tools like Prometheus, Grafana, ELK, or similar. -Collaborate with development, QA, and operations teams to ensure smooth software delivery and release cycles. -Optimize cloud infrastructure (AWS, Azure, or GCP) for scalability, performance, and cost-efficiency. -Troubleshoot production issues and participate in root cause analysis. -Ensure adherence to DevOps best practices, including security, compliance, and disaster recovery strategies. Professional & Technical Skills: - Must To Have Skills: Proficiency in DevOps. - Good To Have Skills: Experience with cloud platforms such as AWS, Azure, or GCP. - Strong understanding of containerization technologies like Docker and Kubernetes. - Familiarity with CI/CD tools and practices to automate deployment processes. - Experience with scripting languages such as Python or Bash for automation tasks. -Monitor system performance, availability, and security using tools like Prometheus, Grafana, ELK, or similar. Additional Information: - The candidate should have minimum 5 years of experience in DevOps. - This position is based at our Bengaluru office. - A 15 years full time education is required.
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : DevOps
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and contribute to the overall data architecture, ensuring that the solutions you develop are scalable and efficient. Roles & Responsibilities: - Design, deploy, and manage containerized applications using Docker and Kubernetes. -Build and maintain CI/CD pipelines for automated deployments and testing. -Implement and manage infrastructure as code using tools such as Terraform/Ansible. -Monitor system performance, availability, and security using tools like Prometheus, Grafana, ELK, or similar. -Collaborate with development, QA, and operations teams to ensure smooth software delivery and release cycles. -Optimize cloud infrastructure (AWS, Azure, or GCP) for scalability, performance, and cost-efficiency. -Troubleshoot production issues and participate in root cause analysis. -Ensure adherence to DevOps best practices, including security, compliance, and disaster recovery strategies. Professional & Technical Skills: - Must To Have Skills: Proficiency in DevOps. - Good To Have Skills: Experience with cloud platforms such as AWS, Azure, or GCP. - Strong understanding of containerization technologies like Docker and Kubernetes. - Familiarity with CI/CD tools and practices to automate deployment processes. - Experience with scripting languages such as Python or Bash for automation tasks. -Monitor system performance, availability, and security using tools like Prometheus, Grafana, ELK, or similar. Additional Information: - The candidate should have minimum 5 years of experience in DevOps. - This position is based at our Bengaluru office. - A 15 years full time education is required.
