Senior Data Engineer

Prudential

Newark, NJ, United States
Base: $104,000.00 - $171,600.00; bonus/equity: yea...
Build and optimize data pipelines
Develop high quality code
Conduct complex data analysis
As a Senior Data Engineer on the FM Management Reporting team, you will partner with talented architects, infrastructure engineers, machine learning engineers, data scientists and data analysts to improve Prudential’s financial data lakes

Job Summary

  • As a Senior Data Engineer on the FM Management Reporting team, you will partner with talented architects, infrastructure engineers, machine learning engineers, data scientists and data analysts to improve Prudential’s financial data lakes.
  • You will implement capabilities to solve sophisticated business problems, deploy innovative products, services and experiences to delight our customers!
  • The salary range for this role is from $104,000.00 to $171,600.00.

Matching Summary

As a Senior Data Engineer on the FM Management Reporting team, you will partner with talented architects, infrastructure engineers, machine learning engineers, data scientists and data analysts to improve Prudential’s financial data lakes.

Salary

Base: $104,000.00 - $171,600.00; Bonus/Equity: yearly bonus potential; Benefits: Medical, dental, vision, life insurance, disability insurance, PTO, 401(k) plan with company match, 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 Systems
  • Data Lakes & Warehousing
  • Cloud Computing AWS

Nice-to-have

  • Agile ways of working
  • Strong business insight
  • Inclusive leadership attitude
  • Continuous learning focus
  • 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)
  • Applied experience with several programming languages
  • Applied experience with Data Ingestion, Integration & Transformation
  • Applied experience with Database Management Systems
  • Applied experience with Data Lakes & Warehousing
  • Knowledge of Data Protection and Security
  • Knowledge of Common Infrastructure as Code (IaC) Frameworks
  • Knowledge of AWS architectural principles and services
  • Applied experience with Testing/Quality concepts and tooling

Work Rights

Not specified

Tailored Resume

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