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Data Engineer

3 months ago

Chicago, United States Jet Support, Inc. Full time
About JSSI For more than 35 years, Jet Support Services, Inc. (JSSI) has been the leading independent provider of maintenance support, advisory services, software, and financial tools to the business aviation industry. With 6,000+ aircraft supported by maintenance programs and software platforms, JSSI leverages this wealth of data, scale, and innovation to drive cost savings and provide custom solutions that align to the interests of each client, regardless of make or model. Learn more at jetsupport.com. JSSI products and services include: Maintenance Programs. Hourly Cost Maintenance Programs to stabilize maintenance budgets, maximize aircraft availability and enhance residual value. Parts & Leasing. Experienced product line specialized team who leverages our All-OEM inventory and global vendor relationships and go beyond parts sourcing to find optimal customer solutions. Software: Traxxall and Conklin & de Decker. Powerful data platforms to help you make more informed decisions, from choosing the right aircraft to tracking your maintenance, inventory, and MRO projects. Advisory Services. Objective insights and independent technical advice from a global team of technical advisors and ASA-accredited appraisers for virtually any business jet, turboprop or helicopter. Aviation Capital. Customized asset-based finance solutions for business aviation.
Position Summary: 
In this role, the Data Engineer will collaborate with stakeholders across the organization, including product management, operations, finance, marketing, and engineering, to identify, define and execute data engineering projects and initiatives. As a data engineer, you help stakeholders understand the data through exploration, and build and maintain secure and compliant data processing pipelines by using different tools and techniques. You use various Azure data services and frameworks to store and produce cleansed and enhanced datasets for analysis.    The ideal candidate will be naturally analytical and empathetic, able to naturally explain technical or complex concepts to stakeholders and committed to staying up to date with industry trends, emerging technologies, and best practices in data engineering, data science and aviation, and leverage this knowledge to drive innovation and improve existing processes. 
Duties and Responsibilities:
  • Design, build and maintain the architecture to collect, analyze, manage and convert raw data into usable information for data scientists and business analysts to interpret.
  • Design and implement data storage solutions using Azure services such as Azure SQL Database, Azure Cosmos DB, and Azure Data Lake Storage
  • Develop and maintain data pipelines using Azure Data Factory and Azure Databricks
  • Create and manage data processing jobs using Azure HDInsight and Azure Stream Analytics
  • Perform data modeling and schema design for efficient data storage and retrieval.
  • Optimize data processing and storage for performance and cost efficiency.
  • Implement security and compliance measures for data storage and processing.
  • Collaborate with data scientists and analysts to provide data insights and support data-driven decision making.
  • Troubleshoot and resolve data processing and storage issues.
  • Develop and maintain documentation for data storage and processing solutions.
  • Stay up to date with new Azure services and technologies and evaluate their potential for improving data storage and processing solutions.
Desired Credentials:
  • 8+ Years of experience in Database technologies like Oracle/DB2/MS SQL.
  • Hands on experience with Azure Data Factory, Azure Data Lake, Azure Synapse and Power BI
  • Strong experience in developing and maintaining data pipelines, data lakes, and data warehouses, as well as a strong understanding of data modeling and ETL (extract, transform, load) processes.
  • Thoroughly understand data computation languages like SQL, Python, or Scala and parallel processing and data architecture concepts.
  • Experience in data storage management, backup and archival processes.
  • Strong knowledge in data-warehousing concepts
  • Knowledge in big data technologies
  • Knowledge of Salesforce is preferred.
  • Experience in Master Data Management (MDM) is preferred.
  • Knowledge of Data Catalog and Data Governance tools, frameworks and processes is preferred.
  • Strong communication and collaboration skills 
  • Prior experience in the aviation industry is preferred.
  • Microsoft Certified: Azure Data Fundamentals
  • Strongly Preferred: Microsoft Certified: Azure Data Engineer Associate
  • Microsoft Certified: Power BI Data Analyst Associate
  • Microsoft Certified: Azure AI Fundamentals


JSSI is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or other characteristic protected by law.
JSSI does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or Recruiting Team.