Data Engineer

November 14

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Masco Corporation

WebsiteLinkedInAll Job Openings

Plumbing Products and Decorative Architectural Products

10,000+ employees

Description

• As a member of the Data & Analytics Center of Excellence (COE), the Data Engineer will play a crucial role in the design, development, and maintenance of the organization’s data and data pipeline architecture. • Their primary focus will be on constructing, testing, and maintaining scalable data architecture and infrastructure to meet the business’ growing data needs. • The Data Engineer shall also implement methods to ensure consistent delivery, integrity, quality and reliability of data in defining a single source of truth to support BrassCraft’s strategic analytics and reporting goals. • This role will design, create, and maintain optimized systems for collecting, moving, storing, and organizing data at scale from various systems into structures that meet the requirements for building analytics solutions. • A strong foundation in data engineering, database management, and proficiency in various programming languages and data technologies is required.

Requirements

• Minimum 5 years in data engineering, data analytics, database design and ETL development. • Experience with data warehousing solutions such as Azure Synapse. • Hands on experience with data architecting, data mining, large scale data modeling and business requirements gathering/analysis. • Proficiency in programming/scripting languages such as Python, Java, PowerShell or C#. • Experience with data integration, orchestration, workflow and data management tools such as Azure Data Factory and Data Bricks. • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. • Advanced data manipulation skills: read in data, process and clean it, transform and recode it, merge different data sets, reformat data between wide and long, etc. • Technical expertise in data modeling and design principles, data mining and segmentation techniques. • Strong understanding of business processes and data flows. • Strong interpersonal and collaboration skills. • Excellent problem solving, troubleshooting and analytical skills. • Demonstrated successful ability to organize and prioritize work to ensure timely deadlines. • Must work independently and with minimal technical direction, as well as within a team environment. Project leading experience required. • Strong attention to detail and ability to navigate ambiguous situations.