Data Engineer
3 weeks ago
As a Data Engineer - DevOps at KISETSU SAISON FINANCE PRIVATE LIMITED, you will play a key role in promoting a DataOps approach to data science, engineering, and analytics delivery processes. Your primary responsibility will be to automate the provision of data, testing, and monitoring, and to shorten the CI/CD pipeline.
Key Responsibilities
Collaborate with data & ML leads to create and build optimal data pipeline architecture for data solutions, including data science products.
Ensure data pipelines are scalable and performant, and create and maintain services to connect data products.
Create dashboards and other tools required to efficiently monitor data and ML infrastructure, pipelines, ETL, and analytics delivery processes.
Build end-to-end event instrumentation and alerting systems to detect and alert any anomalies in the system or in the data.
Assist in managing data and ML infrastructure, including upgrading, monitoring, and optimizing.
Collaborate with IT DevOps engineers and participate in enterprise DevOps activities.
Exchange knowledge on infrastructure and data standards with other developers and be part of our tech community, promoting the use of engineering best practices.
Contribute to innovative POCs with our data & engineering teams.
Remain flexible towards technology approaches to ensure the best advantage is 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 stacks.
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/containerization using Docker and Kubernetes.
Basic knowledge of data science & ML engineering.
Bachelor's degree in computer science or similar degree or Big Data.
Background from top-tier universities.
Experience: 6 - 10 years of experience.
About Us
KISETSU SAISON FINANCE PRIVATE LIMITED is a leading financial services provider with a strong presence in the market. We are committed to delivering innovative solutions to our customers and are looking for talented individuals to join our team. If you are passionate about data engineering and DevOps, and have a strong drive to solve problems, we encourage you to apply for this role.
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