Data Science Engineer (MS Azure) | [Q415]

Data Science Engineer (MS Azure) | [Q415]

21 Dec
quality engineering

21 Dec

quality engineering


Job Description

Roles & Responsibilities

Develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.

Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.

Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.

Writes unit/integration tests, contributes to engineering wiki, and documents work.

Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.

Works closely with a team of frontend and backend engineers, product managers, and analysts.

Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models.

Designs data integrations and data quality framework.

Designs and evaluates open source and vendor tools for data lineage.

Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.

Required Skill Sets

4 years of Python or Java development experience

4 years of SQL experience (No-SQL experience is a plus)

4 years of experience with schema design and dimensional data modeling

Ability in managing and communicating data warehouse plans to internal clients

Experience designing, building, and maintaining data processing systems

Experience working with either a Map Reduce or an MPP system on any size/scale

Knowledge of best practices and IT operations in an always-up, always-available service

Experience with or knowledge of Agile Software Development methodologies

Excellent problem solving and troubleshooting skills

Process oriented with great documentation skills

Excellent oral and written communication skills with a keen sense of customer service

Preferred skillset

Knowledge in Power / Industrial automation environment

Certifications in Data Engineering and Analytics

Education Type

Bachelor: Technical

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