Prudential is looking to build capabilities that enable the organization with innovation, speed, agility, scalability and efficiency by improving major products and services through high quality data pipelines that drive platform delivery and implementing capabilities to solve sophisticated business problems, deploy innovative products, services and experiences to delight customers.
Requirements
- 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
Responsibilities
- Build and optimize data pipelines, logic and storage systems with latest coding practices and industry standards and modern design patterns and architectural principles; remove technical impediments
- 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 a strong understanding of relevant and emerging technologies, provide input and coach team members and embed learning and innovation in the day-to-day
- Work on complex problems in which analysis of situations or data requires an evaluation of intangible variables.
Other
- 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)
- Ability to coach others with minimal guidance and effectively 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
- Excellent problem solving, communication and collaboration skills; enjoy learning new skills!
