Data Engineer

  • 39339
  • Non-Life - Data Engineer
  • |
  • Texas, United States
  • |
  • Mar 23, 2021
  • Solution design and development using appropriate technologies.
  • Manage the data domain and associated metadata as part of a continuous process.
  • Design and develop data related solutions. Key emphasis on business delivery with one eye on quality code, automation and industry best practices.
  • Understand how to communicate data as information and appreciate the key aspects of data quality and data visualization.
  • Understand the need for data management policies, guidelines and protocols when handling data. An understanding of data related regulation would be an advantage.
  • Proactively contribute to the information and system architecture and toolset choices.
  • Develop and provide guidance on coding and reporting standards.
  • Understand different project methodologies and be comfortable working in any of agile, waterfall or DevOps.
  • Collaborate with team members to ensure the right solutions are designed and implemented.
  • Implement where possible; build, test and deployment automation for solutions.
  • Strong functional and data analysis skills
  • Ability to debug and fix software.
  • Produce and be responsible for solution architecture and design documentation.
  • Govern solutions where other developers and testers are involved.
  • Enforce architecture best practice, standards and strategy.
  • Understand the concept of technical debt and manage it effectively to conclusion.
  • Understand commercial drivers, benefits and constraints for projects.
  • Bachelor’s degree or equivalent.
  • Relevant experience in the insurance industry.
  • 3-5 years experience as a developer/data architect with current development skills. Ideally in a lead capacity within the team.
  • Self starter, able to work independently and be comfortable with ambiguity.
  • An understanding of the commercial implications of decisions made at all project lifecycle stages.
  • Proven experience working in with third party service providers including offshore resources on delivery programs and projects.
  • Knowledge of all SDLC phases in a variety of project methodologies.
  • Data Processing Technologies: AWS, Hadoop/Hive/Presto, MongoDB, Oracle, MS SQL Server, DB2, etc.
  • Data Management and BI Technologies: Qliksense/Qlikview, Tableau, PowerBI, Business Objects, Crystal Reporting, Informatica BDM/Powercentre, Informatica DQ/EDC, Python
  • Software management: BitBucket, Jira, Confluence, CI/CD pipelines (Jenkins)
  • Others: Enterprise Architect, XMLSpy, Javascript, Java 8 (Spring, Hibernate, Maven, REST API’s) JSON, XML/XSD