Data Engineer

DATA ENGINEER

SUMMARY: 

• In this position, you will be responsible for designing, developing, implementing, deploying, documenting, managing, and supporting enterprise cloud ETL processes and environments.

 

PRIMARY FUNCTIONS AND ESSENTIAL RESPONSIBILITIES:

• Support ENGIE Insight’s computer systems and ETL (“Extract, Transform, Load”) data processes.
• Translate business requirements into data models that drive data lake or mart or warehouse design and configuration.
• Actively participate in estimating the level of effort and documenting the work breakdown.
• Actively participate in team ceremonies (daily stand-up, backlog refinement, review, retrospectives, etc.)
• Work with cross-functional teams to gather, document, and approve business requirements for data analysis and reporting projects.
• Actively participate in translating business requirements into a system design specification to manage Unstructured, Transactional, Hierarchical, Master and metadata.
• Actively participate in designing, developing, and implementing data integration (ETL) processes to transform unstructured and disparate source data into target data stores, lakes, marts, or warehouses.
• Actively participate in designing, developing, and implementing test automation processes.
• Review implementation and maintenance of ETL processes that support feature development and testing.
• Monitor data lake, mart, or warehouse ETL processes and implement tuning to address scalability, recoverability, and performance impediments.
• Provide on-call support to Business Intelligence environments for internal and external users.
• Plan and conduct development work on data integration projects necessitating the origination and application of new and unique approaches.

QUALIFICATIONS AND REQUIREMENTS: 

• Education/ Certifications/ Experience
  • Bachelor's Degree required in one of the following fields: Computer Science, Computer Engineering, Electrical & Computer Engineering, Information Systems, or a closely related field
  • 0-2 years of data engineering or software engineering experience preferred
  • Azure or AWS (Amazon Web Services) data engineer certification a plus
  • May consider a combination of relevant experience with educational and other skills and abilities in lieu of educational requirements
• Competencies/ Skills/ Abilities
  • Strong verbal, written and interpersonal skills.
  • Experience with the Microsoft Office suite of products required
  • Familiarity with systems: SQL Server, Snowflake, or other database technology
  • Basic understanding of data modeling preferred
  • Basic understanding of C# or any OOP programming language preferred
  • Basic understanding of SQL query language required
  • Basic understanding of OOP concepts preferred
  • Basic understanding of various data formats (XML, JSON, parquet, etc..) required
  • Azure Data Factory, Informatica, or another cloud ETL tool experience preferred
  • Familiarity or work experience with Azure Data Factory a plus
• Other
  • Passion to drive Engie Impact’s mission and values

At ENGIE,  our Goal is to  promote, and thrive on diversity, equity, and inclusion.  We do so for the benefit of our employees our goal is to support, customers, products and services, and community.  ENGIE is proud to be an equal opportunity workplace, and we are firmly committed to creating an equitable and inclusive environment for all employees.

We are committed to providing employees with a work environment free of discrimination and harassment.  All employment decisions at ENGIE are based on business needs, job requirements, and individual qualifications.  ENGIE is committed to providing equal employment opportunities regardless of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship, age, sex or gender (including pregnancy, childbirth, and related medical conditions), gender identity, or gender expression (including transgender status), sexual orientation, marital stat