Data Engineer

There's Only One Place; Michigan; On-site; USD 75,000 - 110,000; Full time

Job summary

There's Only One Place is seeking a Data Engineer to collect, manage, and convert raw data into information for Data Scientists and Analysts. You will build data pipelines in Azure Synapse using Spark, Python, and SQL, while aligning with data warehouse and lakehouse standards.

The role requires 2+ years in Python and SQL for data engineering, a solid SDLC understanding, and a drive to grow in analytics and AI applications within a collaborative team.

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

SQL

SDLC

Data Analytics

Data Engineering

Education

Bachelor’s Degree or Relevant Certifications

Tools

Azure Synapse

Spark

Git

Azure DevOps

C#

Job 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%