Data Engineer

Park Place Technologies, LLC; Highland Heights (OH); Hybrid; USD 80,000 - 110,000; Full time

Job summary

Park Place Technologies, LLC, based in Cleveland's Highland Heights, OH, is seeking a Data Engineer to turn raw data into actionable information for data scientists and business analysts. You will build pipelines using Azure Synapse, Spark, Python, SQL and C#, aligning with our data warehouse and lakehouse standards.

You will collaborate with Business Analysts, Data Analysts and Testing teams; troubleshoot data issues; and contribute to ML/AI initiatives with Azure ML and OpenAI.

Qualifications

• 2+ years of practical or collegiate experience in Python related to data engineering (spark, pandas, etc).
• 2+ years of practical or collegiate experience 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.

Responsibilities

• 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.

Skills

Python data engineering

SQL data engineering

Data analytics

SDLC understanding

Education

Bachelor’s Degree or Relevant Certifications

Tools

Azure Synapse

Spark

Pandas

OpenAI

Azure ML

Azure DevOps

Git

Job description

Cleveland Headquarters Office
Highland Heights, OH 44143, USA

• Hybrid
• IT/IS
• Full-Time
• Requisition #: DATAE006526

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:

• Familiarity with machine Learning and AI

Education:

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

Travel:

• <10%

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
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