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Sr. Data Engineer – Python / PySpark / Databricks

Role overview

Qualifications

  • Strong expertise in Python
  • Experience in PySpark
  • Hands-on experience with Databricks
  • Experience in cloud platforms

Responsibilities

  • Design, develop, and maintain scalable ETL/ELT pipelines in Databricks
  • Integrate data from multiple source systems
  • Collaborate with data analysts, data scientists, and business stakeholders
  • Lead and mentor offshore and onshore data engineering teams

Key facts

Hard skills

Other skills

  • Communication
  • Collaboration
  • Mentorship

About the company

ICONMA logo

ICONMA

Management Consulting

We provide Professional Staffing Services & Project-Based Solutions for a broad range of Fortune 500 organizations. ICONMA is a certified Woman-Owned staffing company and was founded in 2000. ICONMA’s corporate headquarters is in Troy, Michigan, and has 15+ locations worldwide. What makes ICONMA stand out in a fiercely competitive industry? *We provide integrated, full lifecycle services across a broad range of business and technical platforms. *No single company can duplicate our full range of staffing and permanent recruiting services nationwide. *Proven track record of attracting and retaining exceedingly skilled professional workers in a highly competitive market. SERVICES OFFERED Staff Augmentation (Contract, Contract to Hire, Direct Hire, Single Source) Data Analysis Project-Based Services & Solutions Hire Train Deploy Service Model Offshore Staff Augmentation Payroll Services AREAS OF EXPERTISE - Information Technology - Engineering - Business Professional - Accounting/Finance - Admin/Clerical/Call Center - Healthcare/Clinical/Scientific - Marketing/Creative mail linkedin@iconma.com Phone (888) 451-2519 Website http://www.iconma.com

Company details

Company typeLarge
IndustryManagement Consulting
Company size1001 - 5000

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Job description

Our Client, an IT Services and Consultant company, is looking for a Sr. Data Engineer – Python / PySpark / Databricks for their Remote location.
 
Responsibilities:

  • Design, develop, and maintain scalable ETL/ELT pipelines with optimized data processing workflows in Databricks using Python and PySpark.
  • Integrate data from multiple source systems into enterprise data platforms.
  • Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and to implement data governance, security, and best practices.
  • Lead and mentor offshore and onshore data engineering teams, ensuring successful project delivery.
 
Requirements:
  • Seeking for a well experienced Data Engineer with strong expertise in Python, PySpark, and Databricks to design, develop, and optimize scalable data pipelines and data processing solutions. The ideal candidate will have hands-on experience with big data technologies, cloud platforms, and modern data engineering practices.
  • The ideal candidate is a strategic thinker with a developer's mindset, someone who understands the data warehouse and data modelling concepts, can directly solves business problems.
  • Candidate should have experience in cloud platforms and should have working experience in Spark performance tuning and optimization techniques and need to work in Agile environment.
  • Years of Experience: 13.00 Years of Experience
 
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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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