Data Engineer

Park Place Technologies; Grand Rapids (MI); On-site; USD 85,000 - 125,000; Full time

Job summary

Park Place Technologies seeks a Data Engineer to collect, manage, and convert raw data into information enabling Data Scientists and Analysts to evaluate performance.

You will build pipelines in Azure Synapse using Spark, Python, SQL and C#, and collaborate with Business Analysts and Testing teams to deliver reliable data solutions.

Qualifications

• 2+ years of Python experience in data engineering (Spark, pandas, etc).
• 2+ years of SQL experience in data engineering.
• Solid understanding of the Software Development Life Cycle.
• Good data analytics background.
• Motivated to expand knowledge in Data Eng, Analytics and AI.

Responsibilities

• Implement pipelines to move raw data in Azure Synapse using Spark, Python, SQL and C# following architectural standards for Data Warehouse and Data Lakehouse models.
• Develop machine learning and regression analysis skills in Spark-Python-Pandas, OpenAI and Azure ML.
• Employ Azure DevOps and Git in line with SDLC 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 data aberrations submitted by the user community.
• Other duties as assigned.

Skills

Python

SQL

SDLC

Data analytics

AI interest

Education

Bachelor's Degree

Certifications

Tools

Azure Synapse

Apache Spark

Python

SQL

C#

Git

Azure DevOps

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