Job Details

  • ID#50018755
  • Address 60642 , Chicago,

    Illinois

    Chicago USA
  • Job type

    Permanent

  • Salary USD $140,000 - $155,000 140000 - 155000
  • Hiring Company

    1872 Consulting

  • Showed29th May 2023
  • Date09th May 20232023-05-09T00:00:00-0700
  • Deadline08th July 2023
  • Category

    Et cetera

Sr Data Engineer

Vacancy expired!

Sr Data Engineer - 90% WFH

Position Summary:This role is responsible for providing technical expertise and leadership to design and deliver end-to-end data engineering solutions to support advanced analytics capabilities and drive innovation and decision-making across our enterprise.

Responsibilities:
  • Build and maintain real-time and batch data pipelines across the advanced analytics platform.
  • Design, develop and orchestrate highly robust and scalable ETL pipelines.
  • Design and implement Dimensional and NoSQL data modeling as per the business requirements.
  • Develop highly optimal codebase and perform Spark optimizations for Big Data use cases.
  • Design, develop and deploy optimal monitoring and testing strategy for the data products.
  • Collaborate with stakeholders and advanced analytics business partners to understand business needs and translate requirements into scalable data engineering solutions.
  • Collaborate with data scientists to prepare data for model development and production.
  • Collaborate with data visualization and reporting application developers to ensure the sustainability of production applications and reports.
  • Collaborate with data architects on the enhancement of our enterprise data architecture and platforms.
  • Provide leadership to third-party contractors.
  • Comply with health and safety guidelines and rules.
  • Maintain professional and technical knowledge by attending educational workshops, professional publications, establishing personal networks, and participating in professional societies.

Requirements:
  • 4+ years of experience in Data Engineering
  • 2+ years of experience with Advanced Analytics or Data Science
  • Proficient in Spark
  • Experience with Azure

Nice to have:
  • Experience with IoT Data Architecture.
  • Machine Learning Operationalization (MLOps) proficiency.
  • Proficiency with streaming design patterns

Vacancy expired!