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Senior Data Engineer
4 months ago
A start-up MedTech organisation who are leveraging data to raise the levels of care delivered to patients and the efficiency of all healthcare team membersis looking for a passionate Data Engineer to support them on the journey.
Key Responsibilities:
·Lead end-to-end data migration projects, ensuring the seamless transfer of data from one system to another.
·Demonstrate proficiency in designing and optimizing both relational and NoSQL databases to support the organization's data needs.
·Implement and uphold data governance practices to maintain data quality, integrity, and security throughout the data lifecycle.
·Oversee the infrastructure supporting data processes, ensuring optimal performance, reliability, and scalability.
·Work with and leverage the AWS ecosystem, showcasing proficiency in utilizing AWS services for efficient data processing and storage.
·Leverage open-source technologies to build robust and cost-effective data solutions.
·Demonstrate an understanding of distributed computing frameworks such as Apache Spark, Presto, and similar technologies to optimize data processing capabilities.
·Create and maintain dashboards for monitoring application health and cost monitoring, providing valuable insights to support decision-making.
Qualifications:
·Solid understanding of computer science fundamentals and software engineering principles.
·Minimum of 3 years of experience in working with relational databases.
·Strong proficiency in SQL and at least one programming language (e.g., Python, Java).
·Proven track record of successfully planning and executing data migration projects.
·Hands-on experience with tools and methodologies for data migration, ensuring a smooth transition while maintaining data integrity.
·Familiarity with data orchestration tools, such as Apache Airflow, and the ability to design and manage complex data workflows.
·Experience in designing, implementing, and optimizing database schemas, queries, and indexing strategies.
·Familiarity with agile methodologies, sprint planning, and retrospectives.
·Proficiency with version control systems, especially Git.
·Ability to work in a fast-paced startup environment and adapt to changing requirements.
Bonus Skills:
·Experience with DevOps technologies such as Terraform, CloudFormation, and Kubernetes.
·Proficiency in building dashboards using visualization tools (e.g., Grafana, Power BI, QuickSight).
·Knowledge of streaming technologies (e.g Apache Kafka)
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