Data Engineer

6 days ago

Monmouth Junction, NJ, United States Cardinal Integrated Technologies, Inc. Full time

Data Engineer
Jersey city, NJ
C2H or fulltime

bout the job
Overview
Responsible for design, development, testing, and maintenance of data architectures including large scale databases, data pipeline processes, and data delivery solutions. Maintains a solid understanding of AmTrust's mission, vision, and values. Upholds the standards of the AmTrust organization.
Responsibilities

  • ssemble large, complex sets of data that meet the reporting and analytics needs of the enterprise.
  • nalyze raw data sources and develop, test, and implement optimized data pipeline solutions and controls.
  • Design, develop, test, and implement queries, reports, cubes, and dashboards in support of business analytic needs.
  • Continuous focus on improving data quality and efficiency.
  • Interface with business analysts to discuss timelines and clarify requirements as it pertains to new projects, enhancements and bug fixes.
  • dherence to DevOps, SDLC, and Change Management practices
  • Keeps current with market trends and demands.
  • Performs other functionally related duties as assigned.
Qualifications
  • dvanced knowledge of SQL, T-SQL and/or PL/SQL; Ability to write complex, highly optimized queries across large volumes of data.
  • thorough understanding of data pipeline construction and ETL processes.
  • Proficiency with SSIS | SSAS | SSRS
  • Expertise in database design methodologies.
  • Excellent analytic skills.
  • 5+ years of data focused technical experience
Preferred
  • Excellent oral and written communication skills.
  • bility to communicate complicated/ technical information to non-technical audiences in an efficient and simple method.
  • Curiosity and passion for data, visualization and solving problems
  • Highly creative in order to determine the best solutions for real-world problems with quantitative data.
  • Enjoy collaborating with others in a team atmosphere.
  • Eagerness to learn in a fast-paced environment.
  • B.S. degree in Computer Science, Math, Statistics, or related technical field, or equivalent professional experience.
  • Property & Casualty insurance experience a plus.

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