Senior Data Analytics Engineer

Responsibilities

• Demonstrates passion, excellence, trust, transparency, and client focus. 
• Builds and maintains databases, data pipelines, and data lakes. 
• Transforms and models data, develops reporting and analytics, creates dashboards, and works with analytics tools. 
• Understands business problems and processes based on direct conversations with clients, can see the big picture, and translate that into specific solutions. 
• Works with other technical experts on the DADP team and is involved in all parts of the data analytics development process—from gathering requirements and solution delivery to documentation of lessons learned. 
• Approaches conflict directly, assumes positive intent, and seeks assistance from leaders if needed. 
• Adapts positively to change by embracing new practices, processes, or circumstances. 
• Presents a positive, professional, and self-confident image. 
• Responds to clients in a timely and professional manner. 
• Understands and strives to consistently meet or exceed client expectations. 
• Collaborates with clients to identify and address their business needs. 
• Communicates accurately, concisely, and effectively. 
• Respectfully listens to others’ ideas and concerns with an open mind. 
• Develops and maintains effective working relationships with others. 
• Works collaboratively to solve problems and puts team success first. 
• Meets commitments to others and delivers on time. 
• Holds self and others accountable for responsibilities. 
• Accepts responsibility for own decisions and actions without excuses. 
• Works independently or as a member of a team of technical professionals. 
• Balances multiple projects while still focusing on the needs of end users, clients, and the project manager. 
• Provides top-notch service and suggestions to not only clients and the project team but also to the broader NRI team as a whole. 

Required Skills

• 3-5 years of work experience in data engineering 
• Your data engineering experience should include Azure technologies and be familiar with modern data platform technologies such as Azure Data Factory, Azure Databricks, Azure Synapse, Fabric.
• Understanding of Agile engineering practices  
• Deep familiarity and experience in the following areas: Data warehouse and lakehouse methodologies, including medallion architecture; Data ETL/ELT processes; Data profiling and anomaly detection; Data modeling (Dimensional/Kimball); SQL; Strong background in relational database platforms; DevOps/Continuous integration & continuous delivery.
• Growing familiarity and experience with Python 
• Excellent analytical and problem-solving skills   
• Effective oral and written communication and organizational skills   
• Desire for continued education and certification as it relates to the position 
• Bachelor’s degree in data Analytics, Computer Science, Information Systems, or a related field. 
• Previous consulting experience is preferred but not required 

Benefits - You'll love working at NRI not just for the usual benefits, but for our environment and culture!

• You'll work with a great group of people in a highly collaborative team and results oriented atmosphere
• You'll have the opportunity to work in a dynamic and extremely positive environment where there is always the opportunity to challenge your skills and really move the needle
• You’ll work with large, sophisticated, and progressive clients throughout North America
• We provide a comprehensive benefits program including: Health, Vision, and Dental Insurance, Life Insurance, Health/Dependent Care Flexible Spending, 401(k) Plan, Short-Term and Long-Term Disability Coverage, Generous Vacation and Flex Time Off Programs, Company Paid Holidays, and Training and Development Opportunities.