Data Science Engineer

Responsibilities

• Participate in, and execute, a 12-36 month product roadmap with input from the delivery team, stakeholders, and leadership team.
• Develop and code the data science services under the leadership and direction of the VP/Chief Architecture.
• Design and build the infrastructure for data extraction, preparation, and loading of data from a variety of sources using technology such as SQL, AWS DMS, AWS Data pipeline.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Analyze and report results and adjust the overall engineering strategy accordingly with engineering leadership
  Eligibility.

Required Skills

• Ability to build processes that support data transformation, data structures, metadata, dependency and workload management.
• Strong interpersonal skills and ability to project manage and work with cross-functional teams.
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

Required Experience

• Experience in data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.
• Experience working with and extracting value from large, disconnected and/or unstructured datasets.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

Education Requirements

• Bachelor’s Degree in Computer Science, Computer Engineering or a closely related field.