Job Summary

As an Aptitive Senior Data Engineering Consultant, you’ll work closely with our clients, technology partners, and team to develop tech-forward solutions for our client’s unique business challenges. Typical projects focus on areas such as:

  • Data Strategy
  • Data Modernization & Warehousing
  • Analytics & Business Intelligence
  • Application & Data Integration
  • Data Science & Machine Learning
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At Aptitive, we believe in hiring top talent, letting them push boundaries, and develop the career that supports their personal and professional goals.
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What You’ll Do

  • Provide data and analytics solutions to business and technical leaders at our clients
  • Learn and work with cutting-edge technologies
  • Gain knowledge about industries such as; healthcare, retail, insurance, manufacturing, etc.
  • Lead teams to help design and architect robust data and analytical solutions for our clients
  • Work directly with clients to understand and document their business needs and technology requirements
  • Design, code and test data centric solutions
  • Be involved from the beginning to the end of the System Development Life Cycle (SDLC)
  • Mentor and help grow the careers of others
  • Assist in the sales process and help develop new business
  • Contribute significantly to the growth of Aptitive and our clients

Our Ideal Candidate

General Attributes

  • You’re curious and love to explore new technologies
  • You have strong analytical thinking and creative problem solving skills
  • You’re an effective communicator that’s comfortable presenting to executive clients
  • You have the ability to think independently while working in a collaborative environment
  • You have a passion for personal growth and continuous learning
  • You can quickly adapt to new situations and are comfortable being uncomfortable
  • You have architected and implemented data solutions
  • You’re excited to share knowledge and expertise with other Aptitive software innovators and architects

Requirements

  • Bachelor’s degree or higher
  • 5+ years of experience providing data solutions in a client/customer facing role
  • 5+ years experience working with data engineering technologies such as dbt, Azure Data Factory, Matillion, AWS Glue, Databricks
  • Intermediate experience working with database technologies such as Snowflake, Azure Synapse, Azure SQL, AWS Redshift, Microsoft SQL Server, GCP BigQuery
  • Intermediate experience with ELT architectures, SQL, and database / data warehouse development
  • Intermediate experience designing data models (dimensional, data vault, third normal form, etc.)
  • Advanced experience with Cloud PaaS design patterns with tools such as AWS, Azure, GCP
  • Have written complex transformation logic to make the consumption of data clean, performant, and re-usable
  • Experience guiding, mentoring, and developing junior developers
  • Ability to bridge the gap between a technical team and business stakeholders
  • Polished written and oral communication skills
  • Can be productive independently and in a team environment
  • Fun and enjoyable to work with
  • Authorized to work in the United States

Desired Experience

  • Earned a Masters Degree in a related field
  • Intermediate experience with Python, C#, Java, and/or similar object oriented languages
  • Proven ability to develop a technical solution for a business problem
  • Proficient in developing dashboards in Power BI, Tableau, Qlik, Looker, or similar business intelligence tools
  • Experience with the System Development Life Cycle (SDLC), agile development, CI/CD
  • Ability to lead internal initiatives in addition to client work

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