Design and maintain scalable data pipelines and infrastructure using AWS and Databricks. Collaborate with teams to ensure data quality and implement integration processes while optimizing storage solutions.
Job Description
Elevate your career by working with new AI and machine learning technologies, focusing on delivering impactful solutions. We provide opportunities to help you reach your full potential, offering the support you need to achieve your career goals. The Employee Platforms technology team is excited to invest in Dublin, establishing an engineering hub focused on the growth and application of innovative technologies to enhance the experience of our 300k+ employees.
As a Data Engineer at JP Morgan Chase within the Employee Platforms team, you will design, build, and maintain scalable data pipelines and infrastructure to support our data-driven initiatives. Your expertise in AWS, Databricks, and graph database technologies will be crucial in delivering solutions that meet business needs. You will collaborate with data scientists, analysts, and other stakeholders to ensure data quality and consistency, while staying up-to-date with industry trends and technologies.
J.P. Morgan Dublin thrives as a collaborative, tight-knit community, passionately driven by innovation, where curiosity fuels the relentless pursuit of groundbreaking ideas. The culture is centred around exploring new frontiers together by fostering an environment that encourages growth, creativity and forward-thinking.
Job Responsibilities:
Required Qualifications, Capabilities, and Skills:
Preferred Qualifications, Capabilities, and Skills:
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.
Elevate your career by working with new AI and machine learning technologies, focusing on delivering impactful solutions. We provide opportunities to help you reach your full potential, offering the support you need to achieve your career goals. The Employee Platforms technology team is excited to invest in Dublin, establishing an engineering hub focused on the growth and application of innovative technologies to enhance the experience of our 300k+ employees.
As a Data Engineer at JP Morgan Chase within the Employee Platforms team, you will design, build, and maintain scalable data pipelines and infrastructure to support our data-driven initiatives. Your expertise in AWS, Databricks, and graph database technologies will be crucial in delivering solutions that meet business needs. You will collaborate with data scientists, analysts, and other stakeholders to ensure data quality and consistency, while staying up-to-date with industry trends and technologies.
J.P. Morgan Dublin thrives as a collaborative, tight-knit community, passionately driven by innovation, where curiosity fuels the relentless pursuit of groundbreaking ideas. The culture is centred around exploring new frontiers together by fostering an environment that encourages growth, creativity and forward-thinking.
Job Responsibilities:
- Design, develop, and maintain scalable data pipelines using AWS services, Databricks, and graph databases.
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.
- Implement data integration and transformation processes to ensure data quality and consistency.
- Optimise and manage data storage solutions, ensuring efficient data retrieval and processing.
- Monitor and troubleshoot data pipelines to ensure reliability and performance.
- Stay up-to-date with the latest industry trends and technologies in data engineering and make recommendations for improvements.
- Document data engineering processes, workflows, and best practices.
Required Qualifications, Capabilities, and Skills:
- Formal training or certificate in Computer Science, Information technology and proficient advanced experience.
- Proven experience as a Data Engineer or in a similar role.
- Strong proficiency in AWS services such as S3, Lambda, Glue, and Redshift.
- Experience with Databricks for data processing and analytics.
- Familiarity with thatDot Streaming Graph for real-time data processing.
- Proficiency in programming languages such as Python for scripting and automation.
- Strong SQL skills for querying and managing relational databases.
- Experience with Cypher for querying graph databases.
- Strong problem-solving skills and attention to detail.
- Excellent communication and collaboration skills.
Preferred Qualifications, Capabilities, and Skills:
- Experience with data modelling and ETL processes.
- Knowledge of big data technologies such as Apache Spark and Kafka.
- Familiarity with data visualization tools and technique
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.
Top Skills
Spark
AWS
Cypher
Databricks
Kafka
Python
SQL
Thatdot Streaming Graph
Similar Jobs at JPMorganChase
Financial Services
Lead the delivery of data product solutions, manage complex delivery lifecycles, and collaborate across teams to align technology with business goals.
Top Skills:
Agile Delivery MethodologiesAWSAzureData WarehousingDatabase Management SystemsETLGCP
Financial Services
As a Data Architect, you'll design data models, implement data architecture solutions, and collaborate with cross-functional teams to enhance data products and governance standards.
Top Skills:
AWSAzureData ModelingEtl ProcessesGCPHadoopSpark
Financial Services
The AI/ML Engineer will design, implement, and deploy machine learning models, collaborating with teams to integrate solutions and monitor performance.
Top Skills:
SparkAws Cloud PlatformDatabricksMlflowPysparkPythonPyTorchScikit-LearnTensorFlow
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
