Data Engineer

Park Place Technologies; Highland Heights (OH); On-site; USD 90,000 - 130,000; Full time

Job summary

Park Place Technologies is seeking a Data Engineer to convert raw data into information for data scientists and business analysts. The role centers on data accessibility to enable performance evaluation and optimization across the organization.

You will build pipelines in Azure Synapse, apply Spark and Python tools, and collaborate with analysts to ensure high-quality data for analytics and AI initiatives.

Qualifications

• 2+ years of experience in Python for data engineering (Spark, Pandas)
• 2+ years of experience in SQL for data engineering
• Solid understanding of the Software Development Life Cycle
• Strong data analytics background
• Motivated to expand knowledge in data engineering, analytics and AI

Responsibilities

• Implement pipelines to move raw data in Azure Synapse using Spark, Python, SQL and C#
• Develop machine learning and regression analysis skills with Spark-Python-Pandas, OpenAI and Azure ML
• Employ Azure DevOps and Git following SDLC best practices
• Interpret requirements provided by Business and Data Analysts
• Act as a liaison with Analysts and Testing teams to promote smooth development execution
• Triage and troubleshoot data aberrations submitted by the user community
• Other duties as assigned

Skills

Python

SQL

SDLC

Data analytics

Learning mindset

Education

Bachelor's degree

Relevant certifications

Tools

Azure Synapse

Spark

Python

SQL

C#

Azure ML

Azure DevOps

Git

OpenAI

Job description

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