Data Engineer

Electric Mind is a business and technology consulting leader providing innovative, practical solutions driven by engineering excellence. The Data Engineer will provide hands-on expertise in data management, analytics, and business intelligence while designing scalable data solutions and supporting the delivery of data consulting projects.

Responsibilities:

• Designing high quality data pipelines/architectures that are highly scalable and extensible
• Providing guidance on data modeling, analysis, visualization, and implementation of data solutions
• Estimating, tasking, and prototyping
• Collaborating with cross-functional team members on software features, design and implementation
• Participating in the end-to-end delivery of data consulting projects, ensuring completion on time, on budget, and meeting or exceeding client expectations
• Investigating, learning and applying new technologies and processes
• Clarifying requirements with team and client representatives

Requirements:

• • Snowflake
• • Python
• • Databricks or Apache Spark experience
• • Design and implementation experience with Azure Cloud Data Services and/or AWS Cloud Data Services
• • Design and implementation experience with Master Data Management, especially customer and reference data for financial services
• • Proficiency in SQL
• • In-depth knowledge of data management, analytics, business intelligence, and related technologies
• • Growth mindset and desire to learn
• • Bachelor's Degree in: Data Science, Business Analytics or Computer Science (or equivalent education/experience)
• • PowerBI or Tableau or data visualization experience
• • Talend, Apache Airflow, AWS Glue, and Azure Data Factor experience
• • Proficiency in Python or R
• • Experience in data modeling or schema design
• • Experience with Kafka or other data streaming tools
• • Financial Services industry experience
• • Sales, pre-sales, or consulting experience
• • Exposure to and enthusiasm for Agile approaches
• • Master's Degree in: Data Science, Business Analytics or Computer Science (or equivalent education/experience)