Job description

Data Engineer Responsibilities:
  • The Data Engineer is responsible for delivering data warehouse and analytic solutions by ingesting, integrating, and curating data, and building analytical solutions.
  • Serves as a functional and content expert of the data warehouse to synthesize raw data into actionable information.
  • Applies knowledge of relational databases including advanced SQL knowledge and the ability to create complex queries and stored procedures.
  • Collaborates with the Data Engineering team in the design and execution of solutions.
  • Ensures that new and existing data models and databases are consistent with approved data architecture standards.
  • Provide facilitation, analysis, design, and execution of architecture solutions and ensure solutions are leveraged. Create, document, and communicate the integration approach of all the components of the solution.
  • Maintain knowledge of current trends and development in the field. Actively explores emerging technologies.
  • Assists with ETL/ELT design and development including data analysis, source-target mapping, quality profiling, change data capture, code performance.
  • Document all programming changes and design, system modifications and their associated maintenance.
  • Own analytics projects and be accountable for collaborating with the business to gather requirements, execute to provide analytical solutions, which exceed customer expectations.
  • Work collaboratively with and support multi-departments efforts and projects.
  • Mentor staff by sharing skills, experience, knowledge, and expertise on analytic tools and solutions.
  • Provide training and support through the organization on the use of analytics tools.
  • Performs other duties and functions as assigned.
Qualifications
Required:
  • Bachelor’s degree or equivalent experience in relevant field
  • 5+ years of experience in the IT industry
  • 3+ years of experience with SQL Server 2016 or above
  • 3+ years of experience with data warehousing architecture concepts and BI tools
  • 3+ years of experience with designing and implementing ETLs
Preferred:
  • Previous experience with Cloud Technologies (Azure, Data Lake, Data Bricks, Spark)
  • Previous experience with scripting language such as Python
  • Previous experience with ANSI X12 EDI transactions (834 Eligibility and 837 Claims)
  • Experience with Master Data Management concepts and implementation
  • Experience with Microsoft Power BI
  • Previous healthcare experience
  • Knowledge of work prioritization using Agile framework

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