Senior Engineer, Data Engineering

PRIMARY RESPONSIBILITIES / KEY RESULT AREAS

• Utilize a rigorous design methodology that consistently yields the right level of technical design documentation and develop technical solutions that conform both to customer requirements and information development standards.
• Building value-creating and innovative data solutions.
• Use a vast amount of programming tools to design new data solutions to ingest and integrate data into Unified Data Platform.
• Understand various requirement gathering and specification methodologies and can recommend one appropriate to a project.
• Designing, Implementing, and supporting a platform that can provide access to large datasets.
• Work as equals with Data Engineers, Quality Engineers, BI Developers and Business Analysts to establish optimal design/development/delivery which properly serves technical teams and our user community.  Identify risks, tradeoffs, and investment decisions to facilitate best practices.

QUALIFICATIONS & EXPERIENCE

• Bachelors degree in Computer Science, Computer Engineering, Information Systems, or related technology.
• Minimum of 6 years of relevant data processing experience; 3+ years utilizing cloud-based services and data streaming.
• Experience with large scale data lake and data warehouse implementations in cloud environments. 
• Expertise building data lakes and data warehouses in Databricks using DBT, Spark Declarative Pipelines, Python and SQL.
• Experience with Continuous Integration & Continuous Delivery (Jenkins)
• Experience in data analysis and writing and developing complex queries using SQL.
• Strong communication skills including technical documentation, development and delivery of demonstrations and presentations and the ability to listen and communicate effectively with functional leaders.