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DataOps Engineer
2 months ago
About Credit Saison India
We are driven by a mission to bring people, partners, and technology together, creating resilient and innovative financial solutions for positive impact.
DataOps Engineer Role
We are looking for a highly motivated and skilled DataOps Engineer to join our team. As a DataOps Engineer, you will be responsible for promoting a DataOps approach to data science, engineering, and analytics delivery processes to automate the provision of data, testing, and monitoring and shorten CI/CD.
Key Responsibilities
- Promote DataOps approach to Data science, engineering, and analytics delivery processes to automate the provision of data, testing, and monitoring and shorten CI/CD.
- Collaborate with data & ML leads and create and build optimal data pipeline architecture for the data solutions including data science products.
- Ensure the data pipelines are scalable and performant as well as creating and maintaining services to connect data products.
- Create dashboards and other tools required to efficiently monitor our data and ML infrastructure, pipelines, ETL, and analytics delivery processes.
- Building end-to-end event instrumentation and alerting system to detect and alert any anomaly in the system or in the data.
- Assist in managing our data and ML infrastructure (upgrading, monitoring, optimizing).
- Collaborate with IT DevOps engineers and participate in enterprise DevOps activities.
- Exchange your knowledge on infra and data standards with other developers and be part of our tech community. Promote the use of engineering best practices.
- Contribute to innovative POCs with our data & engineering teams.
- Remain flexible towards technology approaches to ensure that the best advantage is being taken by new technologies.
Requirements
- Strong drive to solve problems, communicate clearly, and contribute positively to a DevOps/DataOps culture.
- Knowledge of the latest DevOps tools and practices.
- Experience with data pipelines within AWS (Glue, Data Pipeline, Athena, EMR, DMS, Spark).
- Experience of Database Replication and databases like Aurora, MySQL, MariaDB, etc.
- Efficient in building CI/CD pipelines for containerized Java/Python code stack.
- Comfortable with Git workflow.
- Experience with applications deployed in AWS.
- Experience with configuration management and provisioning tools (e.g., Ansible, CloudFormation, Terraform).
- Knowledge of one or more scripting languages - Bash/Python/JavaScript.
- Orchestration/containerisation using Docker and Kubernetes.
- Basic knowledge of data science & ML engineering.
- Bachelors degree in computer science or similar degree or Big Data.
- Background from top tier universities.
- Experience: 6 - 10 years of experience.
