Find Database engineer, aws dms Jobs in Dublin, D

Lead Software Engineer - AWS
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Oracle
- Java
- SQL
Software Development Engineer II — AWS DMS Schema Conversion Team, DMS Schema Conversion
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Oracle
- Computer Science
- Java
Sr. Software Development Engineer, AWS DMS
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Oracle
- Computer Science
- Java
Software Development Engineer – 2026
Amazon Development Centre Ireland Limited - D94 —Dublin, County Dublin
- Full-time
- Computer Science
- Java
- SQL
Product Deployment Engineer Manager, gTech
Google —Dublin, County Dublin
- €182,000–€197,000 a year
- Full-time
- Java
- Master's degree
- SQL
10d
Senior Database Administrator - Oracle
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- Oracle
- AWS
Senior Java Developer - Coaching & Delivery
U.S. Bank National Association —DUBLIN 18, County Dublin
- €85,765–€100,900 a year
- Full-time
- Azure
- DevOps
- English
Software Engineer III - AI & IoT
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Azure
- System design
- Java
Sr. Manufacturing Engineer - Process Quality, Hardware Engineering - Manufacturing
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Master's degree
- AWS
- Project management
Senior API Engineer
Henry Schein Ireland —Dublin, County Dublin
- Full-time
- Azure
- Management
- Computer Science
Senior .NET Engineer
FDM Group —Dublin, County Dublin
- No degree
- Agile
- Leadership
- Annual leave
11d
Senior Infrastructure Engineer - Dublin
Seapoint —Dublin, County Dublin
- Hybrid work
- DevOps
- AWS
- Linux
Quick apply
Software Development Engineer II, Aurora Control Plane Developer Experience
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Microsoft Excel
- Computer Science
- AWS
Mechanical QA/QC Engineer
Fohntech Group —DUBLIN 15, County Dublin
- Full-time
- Project management
- Communication skills
- Mechanical knowledge
Senior Software Developer - Authentication Team
Workday —Dublin, County Dublin
- €86,400–€129,600 a year
- Full-time
- Java
- Bachelor's degree
- Software development
Senior Machine Learning Engineer
Equifax —Dublin, County Dublin
- Full-time
- Computer Science
- Master's degree
- SQL
- Gym membership
- Sick pay
Senior Specialist, Full-Stack Engineer
The Bank of New York Mellon Corporation —Dublin, County Dublin
- Full-time
- Oracle
- Computer Science
- Java
Principal Technical Support Engineer – Elastic Cloud Storage
Dell Technologies —Dublin, County Dublin
- €67,150–€86,900 a year
- Full-time
- Analysis skills
- No degree
- Scripting
1d
Sr. Manufacturing Engineer - Quality, Hardware Engineering - Manufacturing
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Master's degree
- AWS
- Project management
Manager of Software Engineering (AI Tooling)
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Java
- AWS
- Agile

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Lead Software Engineer - AWS

JPMorganChase -
DUBLIN 2, County Dublin

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Job details

Full-time

Qualifications

Data modelling
Oracle
Data lake
Big data
Spark
NoSQL
Git
Java
SQL
AWS
Analysis skills
Scala
Terraform
Human resources
GitHub
S3
Apache
Kafka
DynamoDB
Maven
AI
Jenkins
Spring framework
Analytics
SDLC

Full job description

JOB DESCRIPTION

Job summary:

As a Manager of Software Engineer at JPMorgan Chase within our Workforce Technology team, you are part of an agile team that works to enhance, design, and deliver the software components of the firm's state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.

Job responsibilities :

Manage data integration and data analysis of disparate systems
Build extensible data acquisition and integration solutions to meet the functional and non-functional requirements of the client
Implement processes and logic to extract, transform, and distribute data across one or more data stores from a wide variety of sources
Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
Provide problem-solving expertise and complex analysis of data to develop business intelligence integration designs
Interface with other internal product development teams as well as cross functional teams (Product Management, Integration Engineering, Quality Engineering, System Admin Teams)
Working with remote and geographically distributed teams to enable building the right products, using the right building blocks, and making them consumable by other products easily

Required qualifications, capabilities, and skills:

Experience in data integration projects using Big Data Technologies, preferably related to human resources analytics
Experience in managing team of at least 5-10 engineers.
Experience in AWS Data Warehousing and database platforms with hands-on delivery using EMR, S3, AWS Glue, Lambda, Apache Airflow and Infrastructure as Code (IaC) (e.g., Terraform/CloudFormation)
Hands-on experience on Spark engineering with PySpark/Scala for building and optimizing scalable data pipelines and 2+ years hands-on experience building streaming applications using Kafka
Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
Strong experience in CICD using Jenkins, Git, Artifactory, Yaml, Maven for Cloud deployments
Good knowledge of Big Data querying tools, such as Athena, RDS, Databricks
Experience in integrating data from different types of file-storage formats like Parquet, ORC, Avro and table formats like Delta Lake or Iceberg
Good knowledge of Java opensource, API standards, JUnits, Spring Boot applications, Swagger Setup
Experience using AI-assisted developer productivity tools (e.g., GitHub Copilot) to speed up development, testing, and remediation
Strong technical understanding in building scalable, high performance distributed services/systems
Strong knowledge of Data Warehousing, Data Modeling and Data Lake, Data Security concepts
Possesses strong problem solving, troubleshooting, and analytical skills, as well as excellent communication, presentation and interpersonal, including the ability to communicate complex concepts clearly to different audiences
Experience in technologies like Oracle/SQL and NoSQL data stores such as DynamoDB
Ability to quickly learn new technologies in a dynamic environment

Preferred qualifications:

Experience in Databricks,
Experience in Human Resources analytics

ABOUT US

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

ABOUT THE TEAM

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

Apply Now

Refine Your Search

database engineer, aws dms jobs in dublin, d

Lead Software Engineer - AWS

Software Development Engineer II — AWS DMS Schema Conversion Team, DMS Schema Conversion

Sr. Software Development Engineer, AWS DMS

Software Development Engineer – 2026

Product Deployment Engineer Manager, gTech

Senior Database Administrator - Oracle

Senior Java Developer - Coaching & Delivery

Software Engineer III - AI & IoT

Sr. Manufacturing Engineer - Process Quality, Hardware Engineering - Manufacturing

Senior API Engineer

Senior .NET Engineer

Senior Infrastructure Engineer - Dublin

Software Development Engineer II, Aurora Control Plane Developer Experience

Mechanical QA/QC Engineer

Senior Software Developer - Authentication Team

Senior Machine Learning Engineer

Senior Specialist, Full-Stack Engineer

Principal Technical Support Engineer – Elastic Cloud Storage

Sr. Manufacturing Engineer - Quality, Hardware Engineering - Manufacturing

Manager of Software Engineering (AI Tooling)

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