Senior Data Engineer

Are you interested in building capabilities that enable the organization with innovation, speed, agility, scalability and efficiency? The Global Technology team takes great pride in our culture where digital transformation is built into our DNA! When you join our organization at Prudential, you’ll unlock an exciting and impactful career – all while growing your skills and advancing your profession at one of the world’s leading financial services institutions.  Your Team & Role   As a Senior Data Engineer on/in >, you will partner with talented architects, infrastructure engineers, machine learning engineers, data scientists and data analysts to improve > . 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.   Here is What You Can Expect on a Typical Day    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 The Skills & Expertise You Bring    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:   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