مهندسی داده

هلدینگ بان

منتشر شده 4 سال پیش

Job Description

-Create and maintain optimal data pipeline architecture -Assemble large, complex data sets that meet functional / non-functional business requirements. -Identify, design, and implement internal process improvements: automating manual processes,optimizing data delivery, re-designing infrastructure for greater scalability, etc. -Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and data warehouses. -Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. - Keep our data separated and secure across national boundaries through multiple data centers. -Work with data and analytics experts to strive for greater functionality in our data systems.

Requirements

We are looking for a skilled and passionate Data Engineer to join our growing team of analytics experts. The hire will be responsible for maintaining and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives. We are seeking a candidate with 5 years of experience in a Data Engineer/Data Entry role, who has attained an undergraduate degree in Computer Science, Statistics, Information Technology, Information Systems or Industrial Engineering. Experience in operating retail ERP software is a plus. They should also have experience using the following software/tools: Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) on Cube as well as working familiarity with data warehousing architecture. Experience building and optimizing data pipelines, architectures and data sets. Experience performing root cause analysis on internal and external data and processes to answer specific business questions. Strong analytic skills while working with and cleaning unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency and workload management. A successful history of manipulating, processing and extracting value from large disconnected datasets. Strong organizational skills. Experience supporting and working with cross-functional teams in a dynamic environment.

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