Sr. Data Engineer

As a Senior Data Engineer, you’ll be supporting the Product Partners team, which owns a proprietary tool that supports end-to-end execution of marketing and advertising campaigns. This role is intended to support development and maintenance of our file creation and delivery process which is referred to as Push to Partner process. We are looking for a data engineer who is self-motivated, interested in improving process efficiencies through coding in Python, can manage stakeholders well, and wants to work on automating solutions for both Loyalty and Media teams. We develop solutions to deliver data science as a service. Our developers use Big Data and Web technologies including (but not limited to) Angular, Python/PySpark/Flask, and SQL to develop products, tools and software features in the cloud.Responsibilities: Take ownership of features and drive them to completion through all phases of the entire 84.51° SDLC. This includes external facing and internal applications as well as process improvement activities such as:• Participate in design of Big Data platforms and SQL based solutions• Perform development of Big Data platforms and SQL based solutions• Perform unit and integration testing• Partner with senior resources, gaining insights• Participate in retrospective reviews• Participate in the estimation process for new work and releases• Be driven to improve yourself and the way things are done Minimum Skills Required: • Bachelor’s degree (typically in Computer Science, Management Information Systems, Mathematics, Business Analytics or another technically strong program), plus 2 years of experience• Proven Big Data technology development experience with Spark (PySpark)• Experience with 3-Tier web application/REST API development (angular/python flask preferred)• Experience developing with Python• Cloud Development (Azure)• Understanding of Agile Principles (Scrum)• Exposure to VCS (Git, SVN)• Experience developing with SQL (Oracle, SQL Server)Key Responsibilities

• Innovate, develop, and drive the development and communication of data strategy and roadmaps across the technology organization to support project portfolio and business strategy
• Drive the development and communication of enterprise standards for data domains and data solutions, focusing on simplified integration and streamlined operational and analytical uses
• Drive digital innovation by leveraging innovative new technologies and approaches to renovate, extend, and transform the existing core data assets, including SQL-based, and Cloud-based data platforms
• Define high-level migration plans to address the gaps between the current and future state, typically in sync with the budgeting or other capital planning processes Lead the analysis of the technology environment to detect critical deficiencies and recommend solutions for improvement
• Promote the reuse of data assets, including the management of the data catalog for reference
• Draft and review architectural diagrams, interface specifications and other design documents
• Proactively and holistically perform activities that create deliverables to guide the direction, development, and delivery of technological responses to targeted business outcomes.
• Provide facilitation, analysis, and design tasks required for the development of an enterprise's data and information architecture, focusing on data as an asset for the enterprise.