Senior Integration Engineer
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Requirements
- Bachelor's degree or foreign equivalent in Computer Science, Computer Engineering, or related field
- 5 years of post-baccalaureate, progressively responsible experience as an Integration Engineer, Software Engineer, Systems Analyst, or a related position.
- Alternative Requirements:
- Master's degree or foreign equivalent in Computer Science, Computer Engineering, or related field
- 3 years of experience as an Integration Engineer, Software Engineer, Systems Analyst, or a related position.
- Must have experience:
Benefits
Additional Information
Job Description Measure and ensure operational success of the Digital Platforms' applications and ancillary systems. Support the DPE (Data Platforms & Engineering) systems and its stakeholders (Marketing, Insights & Analytics) around subscriber acquisition, campaign, storefront (Apple, Google), and data sets. Create database schemas, and develop stored procedures, functions, views, and triggers. Optimize and tune reporting queries for desired performance. Create real time dashboards and reports for platform observance to support the client development and backend services teams to ensure 100% systems uptime. Aggregate data from multiple sources to establish a robust reporting platform of operational, subscriber, and MarTec efforts. Collaborate with internal and external teams in analyzing data in the video production and customer buy flow spaces to assure data quality. Collaborate on KPIs for the Digital Platforms and Data Engineering teams. Provide executives and management with requested reports. Work closely with the functional departments to maintain an in-depth knowledge of the business and new features to grow future data road map initiatives. Resolve technical issues, log problems, and educate peer engineers. Escalate related matters to appropriate departments. Support Customer Care and Application Engineers in providing data to aid in troubleshooting of issues and user information. Give recommendations and implement ideas to improve and ensure data reliability, efficiency, and quality. Employ sophisticated analytics, statistical methods, and data models to prepare data for use in predictive and prescriptive modeling. Explore and examine data to find hidden patterns. Discover opportunities for new data acquisition. Mentor team members across the organization on data products (Analysts, Developers, QA, Jr. Engineers). Establish processes and create documentation for accessing data and systems. Confirm legal, compliance, and Personally identifiable information (PII) protections are in place. Telecommuting from anywhere in the U.S. allowed.
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Company Intel
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