Data Engineer
Full Time
full-time
8 Nov 2025
Verified by Turrior
Content + Source + Freshness • 17 Dec 2025 • 95% confidence
70 / 100
Offer value
Average value due to moderate skill requirements with a focus on continued professional development in data engineering.
- Focus on emerging data engineering skills
- Engagement in collaborative tech environments
- Requires foundational knowledge but offers development
Pros
- Focus on developing data engineering skills in a growing field
- Opportunity for collaboration with various tech teams
- Engagement in contemporary data solutions
Cons
- Entry-level experience required may deter senior candidates
- No salary or compensation details provided
- Full-time presence required which may limit work-life balance
Who it's for
Junior to Mid • On-site
Good fit
- New data professionals looking to establish themselves
- Tech enthusiasts wanting to grow in data fields
- Individuals seeking entry-level engineering roles
Not recommended for
- Highly experienced engineers seeking advanced roles
- Job seekers desiring full remote work
- Candidates disinterested in cloud and DevOps integration
Motivation fit
Keen interest in data architecture and pipeline developmentDesire to work with cutting-edge technologyMotivation to learn and grow in a data-driven environment
Key skills
DevOpsETL ProcessesCloud TechnologiesData Quality Management
Score: 70/100 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.
