About
Job Description
Responsibilities
Data Engineer for the Digital Data & Analytics Team. Our team builds data pipelines to land, profile and store various datasets and also builds the applications that surface this data to support our business partners' strategic decision making. We use various open source technologies including Python, Bash, Spark, Hive, Postgres, Redis MongoDB, Flask, and several other applications including Tableau, MicroStrategy. We work in a very agile environment, where product specifications are sometimes very loosely given, and often change rapidly over time, so we are seeking persons who are comfortable with ambiguity, and figuring out an execution plan in the face of uncertainty. While the main focus is on backend engineering, engineers who have full stack expertise, and can also write the front-end code (ideally in React.js) will be especially considered.
Data Engineer
* Contributor to the overall Data Product roadmap by working closely with our business partners to understand their challenges and develop analytical tools to help drive business decisions
* Full stack developer who can single handedly build working prototypes and work with business clients to further iterate on new features by taking an agile approach to gain early feedback
* Leverage prototyping methodologies to propose and design creative business solutions that exploit our broad toolset of technologies (Big Data, MicroStrategy, Tableau, Python, Spark etc)
* Deep understanding for the digital media ad sales business and ad serving technologies with extensive experience working with ad serving transactional data logs
* Educate and inform business partners on architecture, capabilities, best practices and solutions to build out future enhancements
* Assist in analyzing business requirements, source systems, understand underlying data sources, transformation requirements, data mapping, data model and metadata for reporting solutions
* Ability to manage and mentor other developers
* Writing code and documentation
Qualifications/Requirements
Bachelor's degree in Engineering, Computer Science, Information Systems or related field with 2+ years of industry experience.
Strong Computer Science/Engineering/Information Systems background
1+ years in Digital Media Publisher Industry with a deep understanding in Digital Research
1+ Experience in Data Modeling, Data architecture, Data Quality, Metadata, ETL and Data Warehouse methodologies and technologies.
Experience in any combination of the following: SQL, Big Data (HIVE), Linux, MicroStrategy, Tableau, Python, React.js, APIs, Spark
Strong problem-solving skills.
Strong oral and written communication and influencing skills, with the ability to communicate new concepts and drive change in processes and behaviors and also to communicate complex technical topics to management and non-technical audiences.
Desired Characteristics
Experience with various digital platforms such as Omniture (Site Catalyst), Rentrak, comScore, Operative One, Google DoubleClick, Freewheel, Ad-Juster, Nielsen, Facebook, Twitter, etc
Ability to design concise and visually appealing reports, user interfaces, mockups and documentation
Ability to read external API documentation and write pipelines to extract data from our partners' systems
Ability to write and stand up our own API endpoints to share data internally/externally
Strong analytical focus, results-oriented and execution driven.
Ability and desire to work within a cross-functional team environment with people from multiple business units, vendors, countries and cultures.