JobCubby JobCubby
Sign up
Park Place Technologies

Sr. Data Engineer

Park Place Technologies Highland Heights, Ohio, United States

IT Services and IT Consulting · 1,001-5,000 employees

18 h ago
data-engineer Mid (2-5 yrs) Full-time United States
Log in to apply, save this posting, or score it against your profile with AI.

About the role

The Senior Data Engineer designs and implements complex data pipelines while mentoring junior team members to ensure high-quality data accessibility. They collaborate with Data and Business Analysts to translate requirements into technical solutions using Azure Synapse and various programming languages.

What they look for

Python SQL Azure Synapse Spark Pandas Data Engineering Data Warehouse Data Lakehouse Machine Learning Regression Analysis Azure ML Software Development Life Cycle Mentoring Data Pipelines C#

Requirements

Candidates must have at least 4 years of experience in Python and SQL within a data engineering context, along with a solid understanding of data warehouse and delta lake design. A bachelor's degree or equivalent experience is required, and familiarity with machine learning and AI is considered a plus.

Full description

Senior Data Engineer

The Senior Data Engineer is responsible for collecting, designing, and converting complex 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. As a Senior Data Engineer, one of your primary responsibilities is to guide and mentor junior Data Engineers to ensure they have the necessary skills and knowledge to perform their tasks effectively. This includes setting up guardrails and protocols that help the team achieve their goals efficiently while maintaining the quality of their work. Your role is crucial in ensuring the team's success, as you play a significant part in streamlining their workflow and maximizing their productivity.

What you’ll be doing:

  • Implementing pipelines to move raw data in Azure Synapse using spark, python, SQL and C# in line with established architectural standards related to Data Warehouse and Data Lakehouse modeling standards.
  • Developing machine learning and regression analysis skills in spark-python-pandas, openai and Azure ML.
  • Mentoring other members of the Data Engineering team, specifically those in a junior role
  • Work closely with Data Analysts and Business Analysts to clarify their requirements and provide clear guidance on the execution process.
  • Providing peer review support to work produced by others, confirming use of relevant coding standards.
  • Demonstrate mastery of the Software Development Life Cycle.

What we’re looking for:

  • 4+ years of experience in Python development related to data engineering (spark, pandas, etc.).
  • 4+ years of experience in SQL related to data engineering.
  • Experience in designing and implementing complex data pipelines ensuring data quality & consistency.
  • Solid understanding of data warehouse and delta lake design concepts
  • Solid data analytics background
  • Solid understanding of the Software Development Life Cycle

Bonus Points:

  • Microsoft Cloud Certification
  • Familiarity with Machine Learning and AI
  • Web Development is a plus.

Education:

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

Travel:

  • <10%

Similar roles