Find Principal software engineer, aws lambda Jobs in Clonee, Mh

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Software Engineer III - 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
AWS
Analysis skills
Scala
Terraform
Human resources
GitHub
S3
Apache
Human Resources
DynamoDB
Maven
AI
Jenkins
MySQL
Analytics
SDLC

Full job description

JOB DESCRIPTION

As a Software Engineer III at JPMorgan Chase within the 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
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
Uses enterprise-authorized AI capabilities within the work environment to accelerate security analysis and vulnerability assessment documentation, validating outputs and ensuring sensitive data is handled appropriately
Applies reuse-first, AI-assisted practices within SDLC/toolchain routines to strengthen security testing and control validation, ensuring traceability/auditability and alignment to resiliency and security expectations.

Required qualifications, capabilities, and skills:

Experience in data integration projects using Big Data Technologies
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)
Strong experience in CICD using Jenkins, Git, Artifactory, Yaml, Maven for Cloud deployments
Hands on experience on Spark engineering with PySpark/Scala for building and optimizing scalable data pipelines
Good knowledge of Big Data querying tools, such as Athena, RDS, Databricks
Strong experience in integrating data from different types of file-storage formats like Parquet, ORC, Avro and table formats like Delta Lake or Iceberg
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
Strong experience with Java open-source and API standards
Possesses strong problem solving, troubleshooting, and analytical skills
Having excellent communication, presentation, interpersonal, and analytical skills including the ability to communicate complex concepts clearly to different audiences
Experience in technologies like Oracle/MySQL and NoSQL data stores such as DynamoDB
Ability to quickly learn new technologies in a dynamic environment
Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support security engineering workflows with strong validation habits and awareness of data sensitivity.
Ability to review and validate AI-assisted code/security recommendations before use, escalating when uncertain and following security and data handling requirements.

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

principal software engineer, aws lambda jobs in clonee, mh

Software Engineer III - AWS

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Principal Software Engineer

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Software Development Engineer II, Transactional Data Storage

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Principal Full Stack Software Engineer – eCommerce Platforms

Engineering Manager, Infrastructure

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