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Park Place Technologies

Data Engineer

Park Place Technologies Kentwood, Michigan, United States

IT Services and IT Consulting · 1,001-5,000 employees

Sep 03
data-engineer Mid (2-5 yrs) Full-time United States
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About the role

The Data Engineer will implement data pipelines in Azure Synapse and manage raw data to support Data Scientists and Business Analysts. They will also troubleshoot data issues and collaborate with cross-functional teams to ensure smooth development execution.

What they look for

Python SQL Spark Pandas Azure Synapse Data Engineering Data Warehouse Data Lakehouse Azure Devops Git Machine Learning Regression Analysis Openai Azure ML Software Development Life Cycle Data Analytics

Requirements

Candidates must have at least 2 years of experience in Python and SQL related to data engineering. A bachelor's degree or relevant certifications are required, along with a solid understanding of the software development life cycle.

Full description

Data Engineer

The Data Engineer is responsible for collecting, managing, and converting raw data into information that can be interpreted by Data Scientists and Business Analysts. Data accessibility is the ultimate goal; which enables our organization to utilize data for performance evaluation and optimization.

What you’ll be doing:

  • Implement pipelines to move raw data in Azure Synapse using spark, python, SQL and C# in line with well-established architectural standards related to Data Warehouse and Data Lakehouse modeling standards.
  • Develop machine learning and regression analysis skills in spark-python-pandas, openai and Azure ML.
  • Employ Azure Devops and Git in line with the Software Development Life Cycle best practices.
  • Interpret requirements provided by Business and Data Analysts.
  • Act as a liaison with Business Analysts and Testing teams to promote smooth development execution.
  • Triage and troubleshoot perceived data aberrations submitted by the user community.
  • Other duties as assigned.

What we’re looking for:

  • 2+ years of practical or collegiate experience (or equivalent) in Python related to data engineering (spark, pandas, etc).
  • 2+ years of practical or collegiate experience (or equivalent) in SQL related to data engineering (or equivalent collegiate experience / certifications).
  • Solid understanding of the Software Development Life Cycle.
  • Good data analytics background.
  • Motivated individual looking to expand their knowledge in all areas of Data Engineering, Analytics and AI.

Bonus Points:

  • Microsoft Cloud Certification
  • Familiarity with machine Learning and AI

Education:

  • Bachelor’s Degree or Relevant Certifications & equivalent years of experience

Travel:

  • <10%

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