The IT Data Engineer Specialist plays a key role in expanding and optimizing our data analytics platform, strengthening data integrations, and advancing best practices for data governance and management. This position supports clinical and administrative reporting, data visualization, and the efficient flow and collection of data across cross-functional teams.
Responsibilities
Expand and optimize the data analytics platform
Strengthen data integrations
Advance best practices for data governance and management
Support clinical and administrative reporting
Support data visualization
Requirements
Bachelor's degree in technology, clinical or related field
Senior Data Engineer responsible for designing, building, and maintaining data pipelines, data modeling, and ensuring data quality for the CCG EU Information Technology team at Thermo Fisher Scientific.
Responsibilities
Design, develop, and maintain data ingestion, processing, and pipelines
Build reusable components, frameworks, and libraries at scale
Ensure data quality and integrity throughout the data lifecycle
Monitor and optimize performance of data solutions
Support hyper‑care and handover to support teams
Requirements
Bachelor’s degree in Computer Science, Engineering, or equivalent
Provide advanced-level technical support to Alation customers, partners, prospects, and other support engineers.
Specialize in at least one of the support specialization areas and serve as SME for internal and external customers.
Contribute to the Alation Support Knowledge Base by regularly authoring, editing and updating technical documentation such as KB articles, runbooks, community FAQs, product documentation, etc.
Facilitate internal and external technical enablement sessions.
Build and utilize complex lab setups to replicate and resolve problems.
Advance how tenants from multiple product domains leverage Hadoop Infrastructure services to meet their goals
Provide and improve our capabilities to migrate and support a massive data and compute footprint to newer versions
Improve our tenants' user experience when securely interacting with powerful underlying infrastructure frameworks
Understand and improve the usability, reliability, and scalability of open-source Apache Hadoop services to optimize for the needs of Bloomberg application teams
Requirements
A degree in Computer Science, Engineering or similar field of study or equivalent work experience
A 100% hands-on Data Platform Engineer to provide technical support, resolve complex issues, and maintain stability and security of customer environments across cloud and on platforms.
Responsibilities
Install, configure, and support NX1 product clusters in cloud (AWS, Azure, GCP) and on-premises environments
Maintain, patch, and upgrade existing NX1 product setups in a 24 x 7 environments
Configure Datadog/Grafana agents and develop dashboards to monitor and alert operations teams
Manage daily operations with oncall rotations of Nexusone products and cloud-based technologies
Evaluate and optimize complex distributed production deployments, identify bottlenecks, and recommend performance enhancements
Requirements
Nice to have: Cloudera/Databricks/Snowflake Administrator certification
Contribute to Design and implement data products and features in collaboration with product owners, data analysts, and business partners using Agile / Scrum methodology.
Responsibilities
Contribute to Design and implement data products and features in collaboration with product owners, data analysts, and business partners using Agile / Scrum methodology
Contribute to overall architecture, frameworks and patterns for processing and storing large data volumes
Contribute to evaluation of new technologies/tools/frameworks centered around high-volume data processing
Translate product backlog items into logical units of work in engineering
Implement distributed data processing pipelines using tools and languages prevalent in the big data ecosystem
Requirements
Bachelor’s degree in Computer Science, or related technical discipline
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