Asks for

The ad says“Workflow Orchesration: Airflow, AppFlow, Austosys, Cloudwatch, Splunk”
The ad says“Common Infrastructure as Code (IaC) Frameworks: Ansible, CloudFormation”
The ad says“Workflow Orchesration: Airflow, AppFlow, Austosys, Cloudwatch, Splunk”
The ad says“Workflow Orchesration: Airflow, AppFlow, Austosys, Cloudwatch, Splunk”
The ad says“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”
The ad says“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”
The ad says“Serverless data pipeline development using AWS Glue, Lambda and Step functions”
The ad says“Common Infrastructure as Code (IaC) Frameworks: Ansible, CloudFormation”
The ad says“Workflow Orchesration: Airflow, AppFlow, Austosys, Cloudwatch, Splunk”
The ad says“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”
The ad says“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”
The ad says“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.”
The ad says“Data Lakes & Warehousing: Building Data Models, Data Lakes and Data Warehousing”
The ad says“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”
The ad says“Data Lakes & Warehousing: Building Data Models, Data Lakes and Data Warehousing”
The ad says“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”
The ad says“Database Management System: Storing, organizing, managing, and delivering data using relational DBs, NoSQL DBs, Graph DBs, and data warehouse technologies.”
The ad says“Data Lakes & Warehousing: Building Data Models, Data Lakes and Data Warehousing”
The ad says“Experience in working with DevOps automation tools & practices; Knowledge of full software development life cycle (SDLC)”
The ad says“Database Management System: Storing, organizing, managing, and delivering data using relational DBs, NoSQL DBs, Graph DBs, and data warehouse technologies.”
The ad says“Data Buffering: Kinesis, Kafka”
The ad says“Data Buffering: Kinesis, Kafka”
The ad says“Real-Time Analytics: Spark, Kinesis Data Streams”
The ad says“Serverless data pipeline development using AWS Glue, Lambda and Step functions”
The ad says“Microsoft Fabric - proven experience building and optimizing data pipelines in MS Fabric”
The ad says“Data Visualization: Tableau, Power BI, MS Excel”
The ad says“Database Management System: Storing, organizing, managing, and delivering data using relational DBs, NoSQL DBs, Graph DBs, and data warehouse technologies.”
The ad says“Data Visualization: Tableau, Power BI, MS Excel”
The ad says“Programming Language: Python, SQL, Scala, Pyspark/Apache Spark, Shell scripting”
The ad says“Programming Language: Python, SQL, Scala, Pyspark/Apache Spark, Shell scripting”
The ad says“Database Management System: Storing, organizing, managing, and delivering data using relational DBs, NoSQL DBs, Graph DBs, and data warehouse technologies.”
The ad says“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”
The ad says“Programming Language: Python, SQL, Scala, Pyspark/Apache Spark, Shell scripting”
The ad says“Experience in working with DevOps automation tools & practices; Knowledge of full software development life cycle (SDLC)”
The ad says“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”
The ad says“Programming Language: Python, SQL, Scala, Pyspark/Apache Spark, Shell scripting”
The ad says“Real-Time Analytics: Spark, Kinesis Data Streams”
The ad says“Workflow Orchesration: Airflow, AppFlow, Austosys, Cloudwatch, Splunk”
The ad says“Programming Language: Python, SQL, Scala, Pyspark/Apache Spark, Shell scripting”
The ad says“Serverless data pipeline development using AWS Glue, Lambda and Step functions”
The ad says“Data Visualization: Tableau, Power BI, MS Excel”

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 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 in Microsoft Fabric, 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, SQL, 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, SQL, Scala, Pyspark/Apache Spark, Shell scripting
- Microsoft Fabric - proven experience building and optimizing data pipelines in MS Fabric
- 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.
- 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

Preferred qualifications:
- Serverless data pipeline development using AWS Glue, Lambda and Step functions
- Other Certifications?

You’ll Love Working Here Because You Can

Join a team and culture where your voice matters; where every day, your work transforms our experiences to make lives better. As you put your skills to use, we’ll help you make an even bigger impact with learning experiences that can grow your technical AND leadership capabilities. You’ll be surprised by what this rock-solid organization has in store for you.

PGIM Ireland is proud to be an equal opportunity employer and is committed to equal employment opportunity regardless of applicants’ gender, civil status, family status, sexual orientation, religion, age, disability, race or membership of the traveler community. PGIM Ireland's aim is to hire the best people for the open roles and all appointments will be made on merit.

Any offer of employment made by PGIM Ireland will be contingent on receiving satisfactory references. Applicants should be aware that background checks will be carried out on all candidates offered a position within PGIM Ireland.