Senior Data Engineer

Prudential Financial • Newark, NJ

10d • $104,000 - $171,600

About The Position

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 analyze, design, develop, test, and perform ongoing maintenance to build high quality data pipelines that drive platform delivery. You will implement capabilities to solve sophisticated business problems, deploy innovative products, services and experiences to delight our customers! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership attitude and a continuous learning focus to all that you do.

Requirements

• 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 on-going 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: o 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 Orchesration: Airflow, AppFlow, Austosys, 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

Nice To Haves

• Serverless data pipeline development using AWS Glue, Lambda and Step functions
• Architecture Patterns
• Design Thinking
• Financial/Insurance industry experience is a plus, not a must

Responsibilities

• Build and optimize data pipelines, logic and storage systems with 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

Benefits

• Market competitive base salaries, with a yearly bonus potential at every level.
• Medical, dental, vision, life insurance, disability insurance, Paid Time Off (PTO), and leave of absences, such as parental and military leave.
• 401(k) plan with company match (up to 4%).
• Company-funded pension plan.
• Wellness Programs including up to $1,600 a year for reimbursement of items purchased to support personal wellbeing needs.
• Work/Life Resources to help support topics such as parenting, housing, senior care, finances, pets, legal matters, education, emotional and mental health, and career development.
• Education Benefit to help finance traditional college enrollment toward obtaining an approved degree and many accredited certificate programs.
• Employee Stock Purchase Plan: Shares can be purchased at 85% of the lower of two prices (Beginning or End of the purchase period), after one year of service.
• Eligibility to participate in a discretionary annual incentive program is subject to the rules governing the program, whereby an award, if any, depends on various factors including, without limitation, individual and organizational performance.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior