Data Engineer

While working with teams in an Agile environment, you will be:

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• 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

'Must Have' Skills/Experience

• Snowflake, 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)

'Nice to Have' Skills/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)