UST
Website:
ust.com
Job details:
Role Description
Use an analytical, data-driven approach to drive a deep understanding of our metrics; work with stakeholders to develop a clear understanding of data and data infrastructure needs, help resolve data related technical issues, and ensure optimal data design and efficiency.
Design & Development
− Designs data patterns that support creation of datasets for analytics; implements calculations, cleanses data, ensures standardization of data, maps / links data from more than one source
− Performs data validation and quality assurance on own work − Maintains / streamlines existing data pipelines end to end
− Builds / supports data pipelines, application programming interfaces (APIs), data integrations, data streaming solutions, predictive model implementations (quality, velocity, etc.)
− Identifies data from upstream sources to enable new capabilities
− Engages in testing of the technical solutions to ensure data integrity and system functionality of own work
− Builds large-scale batch and real-time data pipelines with big data processing frameworks
− Designs / develops data integrations to support application engineering and system integration
− Designs / develops / maintains data pipelines; assists in diagnosing / solving production support issues
− Helps create team documentation and training related to technology stacks and standards
− Implements monitoring capabilities based on business SLA and data quality
− Uses / contributes to refinement of Digital Engineering related tools, standards, and training
− Engages / collaborates with external technical teams to ensure timely, high-quality solutions
− Assists with data-related technical issues; ensures optimal data design and efficiency
− Participates in full SDLC process, including planning, design, development, certification, implementation, and support
− Builds data models to deliver insightful analytics; ensures highest standard in data integrity
− Interacts with Product, Business, Analyst stakeholders to confirm data quality, discuss requirements, and support data testing
− Learns / adapts from peer review of own code
− Contributes to overall design, architecture, security, scalability, reliability, and performance
Experience with databases, Databricks, Python API and CI/CD and real experience of building data pipelines plus if they worked on any LLM applications.”
Skills
data engineering,databricks,ci/cd,python,
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