Senior Data Engineer

Position Overview:

Role Responsibilities:

• Design, construct, test, and maintain highly scalable data management systems.
• Develop and optimize ETL processes, ensuring efficient data integration and transformation.
• Implement data solutions that support significant, dynamic business requirements, collaborating closely with business intelligence and analytics teams.
• Review, analyze, and modify systems including encoding, testing, debugging, and documenting programs.
• Maintain and develop logical and physical data models, data management standards and conventions, and data naming standards and metadata.
• Perform reverse engineering of physical data models from databases and SQL scripts.
• Evaluate data models and physical databases for variances and discrepancies.
• Ensure data objects and architecture support company-wide technology solutions, making adjustments as necessary.
• Mentor junior engineers, sharing knowledge and best practices, and guiding them in their professional development.          

Qualifications:

• Bachelor's degree in computer science, Engineering, or related field A Master's degree is preferred.
• At least 5 years of relevant experience in a data engineering role, with a proven track record in sophisticated BI and data warehouse development projects.      
• Expert knowledge of SQL and experience with big data technologies such as Spark, Databricks, and modern data warehousing solutions like BigQuery, Snowflake or Redshift.                            
• Strong familiarity with cloud platforms, such as AWS, Azure, or Google Cloud.
• Experience with data integration tools (e.g., Apache Airflow, Talend) and understanding of data modeling principles.      
• Excellent problem-solving abilities, capable of tackling complex data challenges.
• Strong communication skills and the ability to work collaboratively across team and department boundaries.                 
• Fundamental understanding of the Information Management principles, IT processes, SDLC, architecture and technologies adopted by an organization.   
• Experience working in an Agile environment with Azure DevOps is a plus.