Data Engineer

Data Engineer Position

The Expertise and Skills You Bring

• Bachelor's or Master's degree in computer science, Engineering, or a related technical field.
• 7+ years of relevant work experience in data engineering or architecture.
• Strong SQL skills and knowledge of multiple RDBMS, specifically Snowflake (including SnowSQL), Postgres, SQL Server and Oracle.
• Proven experience building data pipelines using Python, with NiFi and dbt knowledge being a significant advantage.
• Experience in building Power BI Reports that transform data into aesthetically appealing visuals.
• Hands-on knowledge of AWS infrastructure, including S3, EC2, RDS, EKS, Batch, and CloudFormation.
• Deep understanding of data modeling principles, specifically 3NF and Star Schema models.
• Experience with CI/CD workflows using Jenkins and GitHub for automated deployment.
• Familiarity with workload scheduling and orchestration tools like Control-M.
• Proven data analysis skills to ensure data quality such as accuracy, consistency and completeness and to identify gaps and anomalies.
• Ability to work independently in an Agile environment (Scrum and Kanban) brings technical stories to completion.
• Excellent communication and presentation skills

Primary Responsibilities

• Design and build scalable data solutions, including data processing pipelines, migrations, and complex data modeling.
• Identify new development opportunities within a scalable public Cloud environment to enhance organizational capability.
• Collaborate with product owners and business partners to translate high-level requirements into actionable technical tasks.
• Analyze and manipulate datasets to ensure rigorous data integrity, accessibility, and security throughout the entire lifecycle.
• Serve as a technical mentor and thought leader, providing guidance and innovative solutions to the broader team.
• Integrate automated testing and continuous validation into the sprint cycle to ensure production reliability.
• Develop end-to-end solutions using distributed platform design patterns and modern analytics technologies.
• Support and enhance production systems, focusing on high performance, speed, and overall system reliability.