Lead Data Engineer

IT consulting firm established in 2020, delivering tailored IT solutions, system administration, cybersecurity, networking, and IT operations services.
Bridgewater, NJ, USA
$130,000 - $180,000
Data
Staff Software Engineer
Hybrid
11 - 50 Employees
8+ years of experience
Enterprise SaaS

Description For Lead Data Engineer

DMV IT Service LLC, established in 2020, is a prominent IT consulting firm specializing in delivering comprehensive IT solutions. We are currently seeking a Lead Data Engineer to join our global reinsurance team. This role presents an exciting opportunity to work with cutting-edge technologies, particularly Azure and SSIS architectures, supporting critical business functions including underwriting, claims analysis, and risk management.

As a Lead Data Engineer, you will be at the forefront of designing and implementing scalable data solutions, ensuring seamless data integration, availability, and security across systems. You'll lead a team of data engineers, providing technical guidance and mentorship while developing robust data architectures that support business requirements with a focus on scalability and performance.

The role requires expertise in Azure data services, proficiency in PySpark/Python, SQL, and strong experience with SSIS. You'll be responsible for overseeing ETL processes, optimizing data workflows, and implementing process improvements. The position offers the opportunity to work in a collaborative, global environment where you'll interact with various stakeholders to drive data-driven decision-making.

This hybrid position is based in Bridgewater, New Jersey, offering the flexibility of both remote and office work. The ideal candidate will bring not only technical expertise but also strong leadership and communication skills, along with familiarity with the reinsurance/insurance domain. Join us in shaping the future of data engineering while working with a dynamic team dedicated to technological excellence.

Last updated 12 days ago

Responsibilities For Lead Data Engineer

  • Lead the design, implementation, and management of data solutions on Azure
  • Develop and maintain data architecture to support business requirements
  • Manage and mentor a team of data engineers
  • Oversee ETL processes development and implementation
  • Optimize data workflows, pipelines, and storage
  • Identify and implement internal process improvements
  • Collaborate with stakeholders and teams for data-related issues

Requirements For Lead Data Engineer

Python
  • Bachelor's or master's degree in computer science, Data Engineering, or related field
  • Proficiency in Azure data services
  • Experience with PySpark/Python, SQL, and SSIS
  • Proven experience in leading and managing data engineering teams
  • Excellent analytical and problem-solving skills
  • Strong communication skills
  • Familiarity with reinsurance/insurance domain

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