Data Engineer
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
Minimum 5 Year(s) Of Experience Required
Educational Qualification
15 years full time education
As a DevOps Engineer, you will be responsible for solutioning end to end dev-ops architecture and suggesting tool for AWS, build automations, ETL pipelines, code quality & security. A typical day involves utilizing your expertise in continuous integration, delivery, and deployment, as well as cloud technologies and container orchestration. You will also focus on ensuring the security of systems while building and testing end-to-end CI/CD pipelines, contributing to a seamless development process and enhancing operational efficiency.
Roles & Responsibilities:
- Expected to be an SME, collaborate and manage the team to perform.
- Responsible for suggesting tools for AWS INFRA, automations & security.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Facilitate knowledge sharing sessions to enhance team capabilities and foster a culture of continuous improvement.
- Monitor and optimize the performance of CI/CD pipelines to ensure efficient delivery of software.
Professional & Technical Skills
- Proficiency in DevOps & full stack architect experience.
- Strong understanding of cloud technologies and gitLab snowflake DBT deployment, branching strategy, code quality & security.
- Experience with CI/CD tools such as Jenkins, GitLab CI, or CircleCI.
- Familiarity with infrastructure as code tools like Terraform or Ansible.
- Knowledge of security best practices in software development and deployment.
The candidate should have minimum 7.5 years of experience in DevOps. This position is based at our Mumbai office. A 15 years full time education is required.