Data Engineer

Description

ThriveDX is a Global leader - on the cutting edge of digital skills training and transformation. We have trained thousands of industry experts, governments, military, intelligence, law enforcement agencies, and top-tier enterprises for over a decade.

Originally founded in Israel, ThriveDX brings a depth of experience and knowledge to partner with continuing education programs, preparing learners and helping them gain employment in a rapidly growing digital workforce. From top universities like the University of Miami, the University of Michigan, New York University, and California State University, we provide a turnkey solution that propels students into meaningful careers. ThriveDX is working to uplift learners of all socioeconomic backgrounds to close the global digital skills gap one student at a time through these partnerships.

Your Role

• Part of the Data team, responsible for understanding a business requirement, connection to a data source, creating a connector (using Qlik Sense Saas, AWS related tools), investigating the data, creating the ETL whole process for converting it into a data model, and creating a visualization that will answer the customer need and help accomplish the companies goals.
• Construction of dashboards and reports: graphs, indicators, tables, etc.
• Working closely with users (internal only) from understanding the requirement to building the solution and walking them through it.
  
  

• 3 + Years of SQL experience: Strong SQL knowledge, Writing SQL queries, including hands-on experience,
• Sub-queries and nested queries
• 3+ Years of hands-on work with Qlik Sense/ View (Benefit to Saas)/ Similar BI systems, including:
• Connecting and working with SQL databases, Flat files, Web services, Rest API (of all the above), creating complex DM
• Experience with AWS platform
• Experience with Python as an ETL code for data warehouse (Advantage to experience with PySpark, boto3 data libraries)
• Advantage of knowing Salesforce platform
  
  

• A team player
• Strong troubleshooting skills, diagnosis, and problem-solving abilities.
• Motivated to learn new business and technical concepts.
• Ability to translate business needs into technical implementations
• Self-sufficient
• Very strong English communication, verbal, and written skills.