| Sr. Data Engineer - Face to Face Interview - Local to Texas at Remote, Remote, USA |
| Email: [email protected] |
|
From: Shivam Pachauri, Tek inspirations LLC [email protected] Reply to: [email protected] Job Description - Sr. Data Engineer Face to Face Interview Onsite -Irving, TX Onsite 5 days per week Interview Video + onsite Need local Need LINKEDIN Recruiting Process: 1. Assessment, 2. Initial Teams interview with data team (Christopher Sadhoo & Dan Huls) online, 3. Final in-person or Teams interview with CFO (Stormy Patton) in person. Must Have: Azure Data Factory, Data bricks, data modeling/DB architecture, & SQL server Good to have automotive/insurance industry experience, NetSuite or other ERP systems (APIs), & relevant certification(s) Job description As a member of the Data and Analytics team, the Sr. Data Engineer role will contribute to the success in both the daily operations and long-term strategy of the organizations data assets. The optimal candidate brings a business-centric mindset to data architecture efforts and has a track record of being a growth enabler. Job Responsibilities: Design, build & maintain scalable data pipelines in Azure to ensure their compliance with up-time, security, and privacy. Actively contribute to both data & application governance initiatives by designing and implementing policies, procedures, and best practices Implement API-based integrations to support continuing increases in data volume and complexity Collaborate with report developers/analysts and business teams to improve data models that feed BI tools and increase data accessibility. Build and maintain the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Python and SQL Assist in the design of processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it Troubleshoot data pipeline related issues and oversee their resolution. Identify ways to improve data reliability, efficiency, and quality. Collaborate with all business units and development teams to develop strategy for long term data platform architecture. Familiarity with one or more DevOps tools (Git, Jenkins, CI/CD, Jira) Identify and integrate external data sources from various source formats. Assist and oversee other projects as assigned Qualifications/Skills: Mastery in converting raw data into valuable datasets Familiarity with one or more DevOps tools (Git, Jenkins, CI/CD, Jira) Excellent prioritization skills Excellent problem solving and troubleshooting skills Process oriented with great documentation skills Excellent oral and written communication skills with a keen sense of customer service Education/Experience: BS or MS degree in Computer Science or related field 5+ years of database architecture and dimensional data modeling Preferred Experience: 5+ years of data migration activities 5+ years of Python and SQL experience 3+ years working in an Agile development environment pairing DevOps with CI/CD pipelines. 3+ years with data processing systems in Azure (Data Factory, Data Lake storage, DataBricks, Event Hubs) Nice to have: Experience in assisting Master Data Management efforts, including metadata management. Experience in automotive repair and/or insurance industries Microsoft DP-203 certification or Cloud certification on any platform Experience supporting integrations in/out of ERP systems (ie. NetSuite, SAP) Keywords: continuous integration continuous deployment business intelligence database information technology microsoft Texas Sr. Data Engineer - Face to Face Interview - Local to Texas [email protected] |
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| 02:28 AM 31-Oct-24 |