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Lead Software Engineer (Databricks)

JPMorganChase -
DUBLIN 2, County Dublin

Apply Now

Job details

Full-time

Qualifications

CI/CD
Data modelling
Microsoft Excel
Oracle
Data lake
JUnit
Software troubleshooting
Big data
Spark
NoSQL
Git
Java
SQL
AWS
Analysis skills
Distributed systems
Scala
Terraform
GitHub
Agile
S3
Apache
Kafka
DynamoDB
Maven
AI
Jenkins
Communication skills
Spring framework

Full job description

JOB DESCRIPTION

At JPMorgan Chase, you'll join a team that values diverse perspectives and encourages bold thinking. We foster a supportive, blame-free environment where you can take risks, learn, and grow. You'll have the autonomy to work on meaningful projects while receiving mentorship and support. We're excited to see how your unique background and ideas will help shape our future together.

As a Manager of Software Engineering at JPMorgan Chase as a part of Employee Platforms, you will lead and inspire a group of talented engineers to deliver secure, stable, and scalable technology solutions. You will play a key role in designing, developing, and troubleshooting software components that drive our state-of-the-art products. You'll collaborate with cross-functional teams and help shape the technical direction of our projects. Your leadership will empower your team to innovate and excel.

Job Responsibilities:

Manage data integration and analysis across diverse systems
Build extensible data acquisition and integration solutions to meet client requirements
Implement processes to extract, transform, and distribute data from various sources
Provide expertise in problem-solving and complex data analysis for business intelligence integration
Collaborate with internal product development and cross-functional teams
Work with remote and geographically distributed teams to deliver consumable products

Required Qualifications, Capabilities, and Skills:

Experience in data integration projects using Big Data technologies, preferably in human resources analytics
Proven ability to manage engineering teams
Hands-on experience with AWS Data Warehousing and database platforms (Databricks preferred), including EMR, S3, AWS Glue, Lambda, Apache Airflow, and Infrastructure as Code tools (e.g., Terraform, CloudFormation)
Proficiency in Spark engineering with PySpark or Scala for scalable data pipelines
Experience building streaming applications using Kafka
Strong background in CI/CD using Jenkins, Git, Artifactory, YAML, and Maven for cloud deployments
Knowledge of Big Data querying tools such as Athena, RDS, and Databricks
Experience integrating data from various file-storage formats (Parquet, ORC, Avro) and table formats (Delta Lake, Iceberg)
Familiarity with Java open-source tools, API standards, JUnit, Spring Boot, and Swagger
Experience using AI-assisted developer productivity tools (e.g., GitHub Copilot)
Technical expertise in building scalable, high-performance distributed systems
Knowledge of Data Warehousing, Data Modeling, Data Lake, and Data Security concepts
Strong problem-solving, troubleshooting, and analytical skills
Excellent communication, presentation, and interpersonal skills
Experience with Oracle/SQL and NoSQL data stores such as DynamoDB
Ability to quickly learn new technologies in a dynamic environment

Preferred Qualifications, Capabilities, and Skills:

Experience leading data integration projects in large, complex organizations
Advanced knowledge of cloud-based data solutions
Familiarity with emerging technologies in data engineering and analytics
Demonstrated ability to mentor and develop engineering talent
Experience working in agile development environments
Strong track record of delivering innovative solutions
Commitment to fostering an inclusive and collaborative team culture

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 kill, ke

Lead Software Engineer (Databricks)

Senior API Engineer

Practice Lead - Data Science_ ML

Senior DevOps Engineer

Senior Specialist, Full-Stack Engineer

Full Stack Software Engineer

Senior Platform Engineer - Data License Plus

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Senior Cloud Engineer

Senior Software Engineer

Automation Engineer

Senior Automation / OT Consultant

Software Engineer III - AI & IoT

Senior Infrastructure Engineer - Dublin

Technical Lead – Data Platform Infrastructure Engineer (DBRE)

Principal Software Engineer, Amazon DynamoDB

SRE Tech Lead - Cloud Infrastructure

Software Engineer III - Python

Senior Database/Data Warehouse Microsoft Fabric Consultant - contract

Machine Learning Engineer

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