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Data Engineer

Kaleidoscope Innovation Irvine, California, United States · $80K–$120K/yr

2 h ago
data-engineer Senior (5-10 yrs) Full-time United States
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About the role

You will contribute to the creation of a DataOps function and support complex data pipelines and big data platforms. Additionally, you will lead projects across multiple teams to ensure operational excellence and reliable data delivery.

What they look for

Data Engineering SQL Data Pipelines Data Warehousing Data Lakes Data Modeling ETL Big Data Platforms Cloud Platforms Python R Tableau Alteryx Hadoop Spark Machine Learning

Requirements

Candidates must have a bachelor's degree in a technical field and at least 5 years of experience in Data Engineering. Proficiency in SQL, ETL, data modeling, and cloud platforms like Azure or AWS is required.

Full description

We are unable to sponsor or take over sponsorship of an employment visa at this time.

Data Engineer

As a Data Engineer, you will contribute to the creation of a best-in-class DataOps function to support a data supply chain that provides for Capital's data and analytics needs across its lines of business. You will contribute to defining data operations processes and support model, work with complex data pipelines, big data platforms hosted in the cloud, and provide innovative ways to operate and support complex data delivery solutions. You will also contribute to our goal of operational excellence through leadership, rigorous analysis, continuous improvement, and contribute to enhancement decisions that reduce friction and increase reliability, while developing a thorough understanding of standards and best practices used by your team.

Required Qualifications

  • You have a bachelor's degree in Computer Science, Mathematics, Statistics, or other technical field
  • You have at least 5 years of experience in Data Engineering
  • You have advanced quantitative experience such as business intelligence, big data platforms, reporting, analytics, machine learning, and database development, which demonstrate your ability to support and operate complex technical solutions
  • You have demonstrated experience in leading projects across multiple teams
  • You have advanced knowledge of technical and functional designs for SQL, databases, ETL, data pipelines, data warehousing, data lakes, and data modeling
  • You have experience with data analysis utilizing SQL and technologies such as R, Python, Tableau or Alteryx
  • You have demonstrated understanding of Hadoop/Spark or other big data solutions
  • You have demonstrated understanding of Microsoft Azure, AWS or other cloud platforms
  • You have ability to learn new technologies and business areas quickly to provide informed guidance to our business partners

Kaleidoscope, an Infosys Company, is an equal opportunity employer, and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability.

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