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Software engineer ii - aws

Dublin
JPMorgan Chase & Co.
Software engineer
Posted: 23 April
Offer description

Locations 200 Capital Dock, 79 Sir John Rogerson'S Quay, Dublin, D02 RK57, IEJob Schedule Full timeRegulated role: Fitness and Probity Regime Ireland (CF/PCF)? NoJob DescriptionAs a Software Engineer II at JPMorgan Chase in 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.ResponsibilitiesManage data integration and data analysis of disparate systemsBuild extensible data acquisition and integration solutions to meet the functional and non-functional requirements of the clientImplement processes and logic to extract, transform, and distribute data across one or more data stores from a wide variety of sourcesProvide problem-solving expertise and complex analysis of data to develop business intelligence integration designsInterface 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 easilyRequired qualifications, capabilities, and skills2+ years experience in data integration projects using Big Data TechnologiesExperience in AWS Data Warehousing and database platforms (Databricks preferred)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 deploymentsHands on experience on Spark engineering with PySpark/Scala for building and optimizing scalable data pipelinesGood knowledge of Big Data querying tools, such as Athena, RDS, DatabricksStrong experience in integrating data from different types of file-storage formats like Delta Tables, Parquet, ORC, Avro, Sequence files etc.Experience using AI-assisted developer productivity tools (e.g., GitHub Copilot) to speed up development, testing, and remediationStrong technical understanding in building scalable, high performance distributed services/systemsStrong knowledge of Data Warehousing, Data Modeling and Data Lake conceptsStrong experience with Java open-source and API standardsPossesses 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 audiencesExperience in technologies like Oracle/SQL and NoSQL data stores such as DynamoDBAbility to quickly learn new technologies in a dynamic environmentPreferred qualificationsHuman resources analytics experienceEEO StatementWe 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.
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