Implement DevOps practices for data-related components, including Kubernetes and AWS cloud services.
Automate data workflows and processes to improve efficiency and reduce manual intervention.
Monitor robust functioning systems with observability and APMs.
Manage data ingestion, transformation, and storage processes to ensure data consistency and integrity.
Design, develop, and maintain SQL and NoSQL databases, including building and optimising complex queries.
Collaborate with cross-functional teams to define data schemas and maintain data dictionaries.
Implement CI/CD pipelines for data infrastructure, ensuring rapid and reliable deployments.
Monitor and troubleshoot data pipeline and database performance issues, implementing necessary optimisations.
Implement security measures to protect sensitive data and ensure compliance with data privacy regulations.
Proficiency in DevOps practices, networking, tools, including Kubernetes, AWS, CI/CD pipelines and IaC technologies like Pulumi, Terraform.
Strong understanding of logging/monitoring tools like ELK, Grafana, CloudWatch,
Prometheus, or similar solutions.
Experience with data pipeline orchestration and ETL processes.
Knowledge of data modeling, schema design, and data warehousing concepts.
Demonstrable experience in database management, including SQL and NoSQL
databases like MongoDB, Postgres etc.
Familiarity with data security and compliance best practices.
Analytical and deep thinking mindset to take well thought decisions.
Proactive approach to identifying and addressing data and infrastructure challenges.
Ability to work in a fast-paced, dynamic environment and willing to wear multiple
hats when required.
Team player with excellent interpersonal skills.
Keyskills: data privacy data modeling data security data warehousing commercial models database management sql etl aws hats cloud nosql design devops manual schema storage mongodb security database
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