Job for Data Engineer

1 Open Positions | Logo Urgent

Owego, NY
Estimated Best In Industry
12
Posted on: 11/08/2023
Job Description:

  • Plan, evaluate, develop, deploy, document, and maintain data models using best practices, team established processes, methods, and tools. 

  • Evaluate data to ensure it meets corporate policy, development standards, and business data requirements. 

  • Responsible for statistical analysis, identification of data issues, and validation of data integrity. 

  • Ability to draw insights from data and translates those insights into actions that drive business results. 
     

Requirements:

  • Demonstrated experience with developing models and data transformations in SAP HANA using Classic or Advanced XSA (preferred). 

  • Demonstrated experience with SQL queries and performance tuning/optimization. 
    Experience with GIT and Continuous Integration/ Continuous Development (CI/CD) practices. 

  • Experience working in an Agile environment and (Jira preferred).  

  • Experience with using data analytics and/or visualization tools (Tableau, Business Objects BI).  

  • Self-motivated with strong time management capabilities and ability to adapt to shifting priorities.  

  • Demonstrated experience with evaluating business requirements and creating supporting documentation.  

  • Must have strong problem-solving skills and excellent oral and written communication skills.  

  • Ability to document technical solutions in support of standards and best practices.  

  • A bachelor’s degree in (Data Science, Scientific, Engineering, Information Systems, Math, related discipline, or equivalent experience) and 7+ years relevant work experience as a Data Engineer. 

  • Experience with one or more front end reporting tools including the SAP Business objects Suite (WEBI, Information Design Tool, Central Management Console).  

  • Experience in Agile methodologies and tools .  

  • Experience with data analytics and/or visualization tools.  

  • Understanding of data governance, data security, and data quality 

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