Data Engineer

Service Express; Highland Heights, Northern (OH, KY); Hybrid; USD 90,000 - 120,000; Full time

Job summary

Service Express in Cleveland at the Highland Heights office is seeking a Data Engineer to build data pipelines and enable access for data scientists and business analysts. You will work in a hybrid role that focuses on moving data into Azure Synapse using Spark, Python, SQL, and C# within established data warehouse and data lakehouse standards.

You will develop ML and regression capabilities using Spark, Python, pandas, OpenAI, and Azure ML while following the SDLC and collaborating with

Qualifications

• 2+ years of Python experience for data engineering (spark, pandas).
• 2+ years of SQL experience for data engineering.
• Solid understanding of the Software Development Life Cycle.
• Good data analytics background.
• Motivated individual looking 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# in line with architectural 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 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.

Skills

Python data engineering

SQL data engineering

SDLC knowledge

Data analytics

Drive and motivation

Education

Bachelor's Degree or Certifications

Tools

Azure Synapse

Apache Spark

Python

SQL

C#

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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