Lead, Data Engineer

Prudential

Newark, NJ, United States
Base: $133,600.00 - $220,400.00; bonus/equity: yea...
Build and optimize data pipelines
Develop high quality code
Conduct complex data analysis
As a Lead Data Engineer on the Investment reporting team, you will partner with talented architects, infrastructure engineers, machine learning engineers, data scientists and data analysts to improve Investment Data Lake

Job Summary

  • As a Lead Data Engineer on the Investment reporting team, you will partner with talented architects, infrastructure engineers, machine learning engineers, data scientists and data analysts to improve Investment Data Lake.
  • You will implement capabilities to solve sophisticated business problems, deploy innovative products, services and experiences to delight our customers!
  • Prudential is required by state specific laws to include the salary range for this role when hiring a resident in applicable locations. The salary range for this role is from $133,600.00 to $220,400.00.

Matching Summary

As a Lead Data Engineer on the Investment reporting team, you will partner with talented architects, infrastructure engineers, machine learning engineers, data scientists and data analysts to improve Investment Data Lake.

Salary

Base: $133,600.00 - $220,400.00; Bonus/Equity: yearly bonus potential; Benefits: Medical, dental, vision, life insurance, disability insurance, Paid Time Off (PTO), leave of absences, 401(k) plan with company match, Company-funded pension plan, Wellness Programs, Work/Life Resources, Education Benefit, Employee Stock Purchase Plan

Skills & Requirements

Must-have

  • Build and optimize data pipelines
  • Develop high quality code
  • Conduct complex data analysis
  • Collaborate with data teams
  • Write unit and integration tests
  • Python, R, SQL, Java, Scala, Pyspark/Apache Spark, Shell scripting
  • Data Ingestion, Integration & Transformation
  • Database Management System
  • Data Lakes & Warehousing
  • Cloud Computing AWS
  • Testing/Quality concepts

Nice-to-have

  • Agile ways of working
  • Strong business insight
  • Inclusive leadership attitude
  • Continuous learning focus
  • Serverless data pipeline development
  • Financial/Insurance industry experience

Key Requirements

  • Bachelor of Computer Science or Engineering or experience
  • Experience with DevOps automation tools & practices
  • Knowledge of full software development life cycle (SDLC)
  • Ability to coach others with minimal guidance
  • Knowledge of business concepts tools and processes
  • Ability to learn new skills and knowledge on an on-going basis
  • Advanced experience with several programming languages
  • Experience with relational DBs, NoSQL DBs, Graph DBs, data warehouse technologies
  • Knowledge of data protection, security principles and services
  • Knowledge of fundamentals of AWS architectural principles and services

Work Rights

Not specified

Tailored Resume

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