Data Engineer

The Data Engineer is responsible for the assessment, improvement, and governance of quality of critical data assets. This role is responsible for gathering and analyzing data requirements and developing the complex logical and physical database designs and data models in support of enterprise data management. A successful candidate for this role will be able to build and measure the timeliness and correctness of data and data models. You are a good fit for this role if you have a natural curiosity, a tendency to investigate oddities and a desire to organize the disorderly.

Title: Data Engineer

Responsibilities:

• Own the design, development, and maintenance of data pipelines, warehouse layers and integrations.
• Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format
• Ensure data accuracy by validating data for new and existing tools.
• Learn and understand a broad range of data resources and know how, when, and which to use and which not to use.
• Managing metrics across multiple projects simultaneously
• Working with technology and analytics teams to support the development of tools and dashboards
• Communicating with and supporting various internal stakeholders and external audiences
• Develop processes for the delivery of data collected from operational applications and the distribution of this data to the informational platform and data marts for analysis and reporting.
• Implement data governance standards, policies, and procedures for the control, protection, consistency and delivery of corporate data and information assets.
• Implement strategies for maintaining data quality, data integrity and performance metrics in the informational infrastructure.
• Perform impact analysis for changes to operational application processes and data that may affect the informational environment. Define conceptual data models.
• Review and guide the development of logical and physical data models that have informational impact. 
• Develop and maintain the master data management solution and metadata repository.  
• Working with a team US based; primarily remote employees but may also expand globally.  

A strong candidate will have:

• 3 year of experience in data engineering or data analytics
• Strong understanding of RDBMS Concepts
• Experience with writing data dictionaries and documenting Entity Relationship Diagrams
• Good understanding of Snowflake
• Good understanding of AWS products
• Strong understanding of ETL concepts and popular products, especially Fivetran
• Ability to learn quickly and maintain a diverse workload in a fast-paced environment
• Experience supporting performance and load testing, analysis, and evaluation of results, and providing recommendations

• Skilled in understanding and maintaining data integrity, developing documentation, and ability to be accountable for overall data validation
• Able to assimilate unstructured information and produce clear data plans for large enterprise-level IT projects
• Experience architecting and maintaining data warehouses
• Excellent interpersonal skills with the ability to build relationships across a variety of departments.
• Curiosity of technology to explore “art of what is possible”
• Excellent communication verbally and in writing, able to liaise between technical and non-technical stakeholders. 
• Desire to take your work to the next level