Data Engineer

2 months ago

st louis, United States Sigmaways Inc Full time

We are pursuing a highly motivated individual with strong problem-solving skills to take on the challenge of structuring and engineering data and cutting-edge AI model evaluation and reporting processes.


As a Data Engineer, you will:


  • Oversee the integration and management of data from various sources and storage systems, establishing processes and pipelines to produce cohesive datasets for analysis and modeling.
  • Design and develop data pipelines to automate repetitive tasks within data science and data engineering.
  • Demonstrated experience leading cross-functional teams or working across different teams to solve complex problems.
  • Partner with software engineering teams to deploy and validate production artifacts.
  • Identify patterns and innovative solutions in existing spaces, consistently seeking opportunities to simplify, automate tasks, and build reusable components for multiple use cases and teams.
  • Create data products that are well-modeled, thoroughly documented, and easy to understand and maintain.
  • Comfortable leading projects in environments with undefined or loose requirements.



Qualifications :


  • Bachelor’s degree in computer science, Information Systems, or another related field
  • 7 to 9 years of experience in Data Engineering and implementing multiple end-to-end DW projects in a Big Data environment.
  • ​Experience in building data pipelines through Spark with Java/Scala on Hadoop or Object storage.
  • ​Experience working with Databases like Oracle, and Netezza and have strong SQL knowledge.
  • ​Experience working on Nifi will be an added advantage.
  • ​Experience working with APIs will be an added advantage.
  • Experience and working in a Unix environment is an added advantage
  • ​Strong analytical skills are required for debugging production issues, providing root causes, and implementing the mitigation plan.
  • ​Ability to multi-task across multiple projects, interface with external/internal resources, and provide technical leadership to junior team members.
  • ​Flexibility to work as a member of matrix-based diverse and geographically distributed project teams.
  • ​Experience of working in Agile teams.

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