DataOps Engineer
4 weeks ago
Credit Saison India is a leading Non-Bank Financial Company (NBFC) lender, with a strong presence in wholesale, direct lending, and tech-enabled partnerships with NBFCs and fintechs. Our tech-enabled model, coupled with underwriting capability, facilitates lending at scale, addressing India's huge gap for credit, particularly in underserved and under-penetrated segments of the population.
Job DescriptionWe are seeking a highly skilled DataOps Engineer to join our team. The successful candidate will be responsible for promoting a DataOps approach to data science, engineering, and analytics delivery processes, automating the provision of data, testing, and monitoring, and shortening CI/CD pipelines.
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 pipelines.
- 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 service 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, optimising).
- 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.
- 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.
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