Senior Data Engineer

What You Get To Do Everyday:

• Build data transformation pipelines with Data Build Tools (DBT).
• Evaluate the latest technological trends and develop proof-of-concept prototypes that align with CPI opportunities.
• Develop positive relationships with clients, stakeholders, and internal teams.
• Understand business goals, drivers, context, and processes to suggest technology solutions that improve CPI.
• Work collaboratively on creative solutions with engineers, product managers, and analysts in an agile-like environment.
• Perform, design, and code reviews.
• Perform other position-related duties as assigned.
• co-architect clients next-gen cloud data analytics platform.
• Increase operating efficiency and adapt to new requirements.
• Monitor and maintain the health of solutions generated.
• Support and enhance our data-ops practices.
• Provide task breakdowns, identify dependencies, and provide effort estimates

You Need to Have:

• Experience with Azure DevOps (Repos, Pipelines, Boards, Wiki, Test Plans)
• Experience with formal software development methodologies including Software Development Life Cycle (SDLC), Agile or SCRUM
• Experience building high-performance and highly reliable data pipelines
• Experience Knowledge of data warehouse design patterns (star schema, data vault)
• Experience building dashboards with business integration tools
• Knowledge of DataOps
• with cloud-based compute, storage, integration, and security patterns
• Knowledge and understanding of RESTful APIs
• Knowledge of current data engineering trends, best practices, and standards
• Knowledge of SQL and Python
• Bachelor's degree in computer engineering, computer science, data science, or related field
• Seven years or more of experience working with data modeling, architecture and engineering
• Two years or more experience designing and implementing data warehouses in Snowflake
• Experience with all core software development activities, including requirements gathering, design, construction, and testing
• Experience performing data transformation using DBT
• Experience working with DQ products such as Monte Carlo, BigEye, or Great Expectations

We'd Love to See:

• Experience in delivering an end-to-end data analytics platform using modern data stack components
• Experience working with artificial intelligence (AI) and machine learning (Client)
• SnowPro Advanced Certification
• DBT Analytical Engineer Certification

Nesco Resource offers a comprehensive benefits package for our associates, which includes a MEC (Minimum Essential Coverage) plan that encompasses Medical, Vision, Dental, 401K, and EAP (Employee Assistance Program) services.

Nesco Resource provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.