190001G4 Requisition #


The Data Engineer will be an integral member of the Business Intelligence team in Genesys IT group. He/she will be responsible for effective data ingestion/ETL development, data quality and data operations activities.

The BI team is chartered with defining and executing an enterprise business intelligence strategy. This includes BI solutions & Data Warehouse implementation, data access and dashboard creation in a partnership with business and IT stakeholders. In this hands-on role, the Data Engineer will help us on our journey to become a more data driven company. 


In this role, the primary areas of responsibilities will include (but are not limited to):

  •  Develop, execute, maintain and monitor ETL workflows and scripts
  •  Design, enhance and maintain data models
  •  Support, monitor and maintain the Enterprise Data Warehouse & Data Lake (Snowflake)
  •  Ensure data integrity across data sources and resolve data-related problems
  •  Performing data discovery and analysis to model and bring in new data sources into the Data Warehouse
  •  Document data dictionaries & metrics glossary and technical procedures
  •  Assist in evaluating new technologies and practices
  •  Provide guidance and insight on BI/ETL development techniques.
  •  Recommend process improvements & suggest alternatives for continuous enhancement 
  •  Work collaboratively in cross-functional team
  •  Stay abreast of new and emerging Data technologies
  •  Identify and implement industry best practices.

Minimum (Required) Qualifications:

  •  Bachelor Degree in Computer Science, Information Technology, Business Intelligence or a related discipline
  •  8+ years of work related experience in data management, ETL Development, Business Intelligence, data warehousing, data integration & data modeling
  •  Advanced SQL and Data Warehouse experience (Experience with Snowflake solution is a plus)
  •  Advanced ETL Development experience (Experience with Talend ETL preferred)
  •  Strong knowledge of data quality management and best practices
  •  Working knowledge of data governance processes and SDLC
  •  Data visualization experience (Tableau) is a plus 
  •  Understanding of data requirements gathering and ability to translate business requirements from stakeholders to technical development team
  •  Exposure to master data management tools and best practices
  •  Experience with DW/BI Cloud based solutions
  •  Experience Artificial Intelligence/Machine Learning is a plus
  •  Experience with Agile/Scrum preferred
  •  Proven capability to gather, manage and synthesize large amounts of information efficiently, effectively and creatively with attention to detail
  •  Excellent analytical thinking, problem solving, organizational and time management skills. 
  •  Technical aggressiveness, demonstrated ability to learn new technologies
  •  Excellent analytical thinking, problem solving, organizational and time management skills.
  •  Excellent written and verbal communication skills
  •  Ability to innovate and to effectively deal with rapid change in a positive manner.
  •  Proven customer service and support focus

About Us:

Genesys® powers more than 25 billion of the world’s best customer experiences each year. We put the customer at the center of everything we do and passionately believe that great customer engagement drives great business outcomes. More than 10,000 companies in more than 100 countries trust the industry’s #1 customer experience platform to orchestrate omnichannel customer journeys that eliminate silos and build lasting relationships. With a strong track record of innovation and a never-ending desire to be first, Genesys is the only company recognized by top industry analysts as a leader in both cloud and on-premise customer engagement solutions. Connect with Genesys via www.genesys.comTwitterFacebookYouTubeLinkedIn, and the Genesys blog.


Genesys is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.

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