200+ applicants

Company

Original Job Post

Prudential Financial · 1 week ago

Senior Data Engineer

Newark, NJ

Full-time

Onsite

Senior Level

$105K/yr - $156K/yr

Wonder how qualified you are to the job?

Asset ManagementFinance

Actively Hiring

Insider Connection @Prudential Financial

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

Responsibilities

Build and optimize data pipelines, logic, and storage systems with the latest coding practices and industry standards and modern design patterns and architectural principles; actively code and execute against the roadmap

Develop high-quality, well-documented, and efficient code adhering to all applicable Prudential standards

Conduct complex data analysis and report on results, prepare data for prescriptive and predictive modeling, combine raw information from different sources

Collaborate with data analysts, scientists, and architects on data projects to enhance data acquisition, transformation, organization processes, data reliability, efficiency, and quality

Write unit, integration tests and functional automation, researching problems discovered by quality assurance or product support, developing solutions to address the problems

Bring an applied understanding of relevant and emerging technologies, begin to identify opportunities to provide input to the team and coach others, and embed learning and innovation in the day-to-day

Work on complex problems in which analysis of situations or data requires an in-depth evaluation of various factors

Use programming languages including but not limited to Python, R, SQL, Java, Scala, Pyspark/Apache Spark, Shell scripting

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

DevOps AutomationSDLC KnowledgeBusiness ConceptsProgramming Languages PythonProgramming Languages RProgramming Languages SQLProgramming Languages JavaProgramming Languages ScalaShell ScriptingData Ingestion & TransformationDatabase Management SystemsSQL & NoSQL DatabasesReal-Time Analytics SparkReal-Time Analytics KinesisData Buffering KinesisData Buffering KafkaWorkflow Orchestration AirflowWorkflow Orchestration AppFlowWorkflow Orchestration AutosysWorkflow Orchestration CloudwatchWorkflow Orchestration SplunkData Visualization TableauData Visualization Power BIData Visualization MS ExcelData Lakes & WarehousingData Protection & SecurityInfrastructure as Code AnsibleInfrastructure as Code CloudFormationCloud Computing AWSTesting/Quality Assurance

Required

Bachelor of Computer Science or Engineering or experience in related fields

Experience in working with DevOps automation tools & practices; Knowledge of full software development life cycle (SDLC)

Leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization

Knowledge of business concepts tools and processes that are needed for making sound decisions in the context of the company's business

Ability to learn new skills and knowledge on an ongoing basis through self-initiative and tackling challenges

Excellent problem solving, communication and collaboration skills; enjoy learning new skills!

Applied experience with several of the following:

Programming Language: Python, R, SQL, Java, Scala, Pyspark/Apache Spark, Shell scripting

Data Ingestion, Integration & Transformation: Moving data from multiple sources, formats, and volumes to analytics platforms through various tools. Preparing data for further analysis; transforming and mapping raw data to generate insights and wrangling data through tools.

Database Management System: Storing, organizing, managing, and delivering data using relational DBs, NoSQL DBs, Graph DBs, and data warehouse technologies including AWS Redshift and Snowflake

Database tools: Data architecture to store, organize, and manage data. Experience with SQL and NoSQL based databases for storage and processing of structured, semi-structured & unstructured data.

Real-Time Analytics: Spark, Kinesis Data Streams

Data Buffering: Kinesis, Kafka

Workflow Orchestration: Airflow, AppFlow, Autosys, Cloudwatch, Splunk

Data Visualization: Tableau, Power BI, MS Excel

Data Lakes & Warehousing: Building Data Models, Data Lakes and Data Warehousing

Data Protection and Security: Knowledge of data protection, security principles and services; data loss prevention, role-based access controls, data encryption, data access capture and core security services

Common Infrastructure as Code (IaC) Frameworks: Ansible, CloudFormation

Cloud Computing: Knowledge of fundamentals of AWS architectural principles and services; Strong ability on cloud formation and to write code; Knowledge of AWS core services

Testing/Quality: Unit, interface and end-user testing concepts and tooling inclusive of non-functional requirements (performance, usability, reliability, security/vulnerability scanning, etc.) including how testing integrated into Dev Ops; accessibility awareness

Preferred

Serverless data pipeline development using AWS Glue, Lambda and Step functions

Benefits

Medical

Dental

Vision insurance

Life insurance

Disability insurance

Paid Time Off (PTO)

Parental and military leave

401(k) plan with company match

Company-funded pension plan

Wellness Programs

Tuition Assistance

Employee Stock Purchase Plan

Company

Prudential Financial

Prudential Financial specializes in the fields of investment management, life insurance, and retirement benefits. It is a sub-organization of Prudential Financial.

Founded in 1875