Data Engineer

Title: Data Engineer

Location: (Atlanta, GA)

Duration: Perm

Compensation: 100,000-130,000

Work Requirements: , Holders or Authorized to Work in the U.S.

• Designs, implements, and optimizes data pipelines to ingest, process, and transform large volumes of structured and unstructured data from various sources
• Develops robust Extract, Transform, Load (ETL) processes to integrate data from diverse sources into the data ecosystem
• Creates data models to structure and organize data within databases and data warehouses, ensuring efficient data access and analysis
• Implements data quality checks and monitoring mechanisms to identify and address data inconsistencies
• Works closely with internal IT stakeholders and business users to understand data requirements and deliver actionable insights
• Performs other duties as assigned

• Proficiency in programming languages such as Python, SQL, and potentially other languages like .Net, C#, etc.
• Understanding of data governance best practices to ensure data quality and compliance
• Experience with data warehouse solutions like Azure Synapse and others
• Understanding of data modeling concepts such as dimensional modeling or star schema
• Proficiency with data integration tools to combine data from disparate sources
• Prior experience with cloud services such as Azure
• Demonstrates strong knowledge of relevant specialty area, leading important initiatives, offering guidance to team members, and promoting innovation and strategic improvements within the organization
• Advanced ability to communicate complex information in a clear and understandable manner to stakeholders
• Ability to lead diverse teams to achieve common goals, while mentoring team members
• Demonstrates advanced planning, organizational, and time management skills, leading multiple projects, guiding team members, and driving strategic initiatives to achieve organizational goals
• Strong ability to conduct research, gather information, and stay current with industry trends and best practices to influence change within relevant specialty area
• Advanced ability to analyze data, trends, and complex problems to problem solve within relevant specialty area
• Exemplifies a strong ability to seek out and learn from feedback, coaching, and new experiences. Proactively adapts to new challenges and leverages learnings to drive innovation and mentor others
• Demonstrated ability to facilitate collaboration across various departments to harness collective creativity and drive innovative solutions. Utilize strong communication skills to effectively convey ideas and lead discussions. Demonstrated impact in cross-functional projects, ensuring alignment and synergy among diverse teams
• Ability to work and maintain confidentiality of highly sensitive/private information

• High School Diploma or GED

• Bachelor's degree with major coursework in computer science, information systems, or a closely related field, or commensurate experience

• Four or more years of professional work experience, including work in T-SQL and Database modelling in an Agile/Scrum environment
• Two or more years of experience in dimensional modelling
• Two or more years of experience working on data warehousing technologies
• Two or more years of experience in programming languages such as Python, .NET C#, etc

• Experience with cloud data platforms such as Azure Synapse etc.
• Proficiency in SQL Server Analytics systems.
• Familiarity with Denodo and Elastic Search