Job Details

Email to Friend Save Back

Data Engineer

BELLEVUE-98008, WA, US
02/05/2020

-

Required Skills

Apache Spark, Adobe Analytics

Company

Infinity Consulting Solutions, Inc

Experience

Job Description

Our Client is a large international media company that has recently into the VOD/ OTT space, and they are committed to building a first-class platform, and they are looking to add multiple Data Engineers with an analytical mindset to enhance their platform.

This role will build new data sets, scale existing data sets, and create innovative data solutions to support consumer products across mobile, tablets, web, connected TV, voice, and emerging technologies.

They will use big data platforms, data warehousing, and business intelligence technology to enable data science, machine learning, and self-service visualization analytics to drive these insights and product capabilities.

This senior engineer will ensure the ongoing performance of reliable and efficient data systems using AWS and other data technologies.

An ideal candidate will be a driven, passionate advocate for building and maintaining highly scalable data systems and using that data to support analytics and solutions that produce great experiences for our customers.

This person will make data-driven decisions, have an insatiable curiosity, and obsess about their customers.

They will have a strong point of view but remain open-minded should evidence lead in another direction.

They are a senior member of the team whom others enjoy working with because they are reliable, innovative, and care for their team members.

They build trust with people from all areas of the business and have a proven track record.

This senior engineer takes end-to-end ownership and consistently delivers results in a fast-paced environment.

What you will do

Partner with product, marketing, engineering, and analytics stakeholders to understand what data structures and systems are needed to support key business goals and processes.

Work with engineering and partner teams to identify scalable, accessible data sources for analysis and operational use.

Design, build, maintain, and improve a scalable data architecture and infrastructure to deliver customer, product, and marketing insights.

Design and build new/expanded data sets used to drive insights and models.

Partner closely with data analytics and scientists to deliver actionable insights, analytics, and science-driven models (e.g. using machine learning or other modeling techniques).

Prepare redundant and scalable systems that efficiently use resources and elegantly handle disruptions.

Ensure data integrity and accuracy across all owned data systems and sources.

Partner with central data warehousing team to ensure all relevant data is accessible enterprise-wide and meets common standards.

Make data engineering techniques approachable and understandable to non-data engineers or scientists.

Support the hiring and development of other data engineers, scientists, analysts, and other technical professionals, helping them enhance their skills, while supporting a fun and engaging culture.

What you will need to have

Minimum of 7+ years of proven technical experience in data engineering, data warehousing, and analytics.

Expertise in structuring, cleansing, and preparing large, complex datasets for analysis and modeling.

Expertise in building robust and scalable data pipelines using structured and unstructured data as well as batch data and real time streaming data services.

Expertise with SQL and other data querying techniques (Scala, Shell).

Experience with Apache Spark and Presto.

Expertise in data warehousing solutions and techniques.

Experience with Amazon Web Services (Redshift, S3, EC2, EMR, etc.) is required.

Experience with Adobe Analytics is a plus.

Experience with statistical programming languages, such as Python or R is a plus.

Demonstrated ability to work across product, engineering, and analytics teams to evaluate new ideas, discuss technical concepts, create scalable designs, and make tradeoffs to remove roadblocks.

Strong written and verbal communication skills. Can communicate the results of your work clearly to your audience.

Masters in quantitative or technical field (statistics, mathematics, computer sciences, etc.) is a plus.