JPMorganChase
Software Engineer
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Job Description
We are seeking a Software Engineer to design and implement scalable data processing, analytics, and machine learning workflows. The role involves building and managing ETL and data ingestion pipelines to bring diverse datasets into the cloud while maintaining data quality and consistency. You will build, optimize, and maintain scalable data infrastructure and cloud-native pipelines to ensure data is clean, reliable, and prepared for AI, machine learning, and analytics. This position will oversee end-to-end data flow, integration, transformation, and storage while implementing quality controls and troubleshooting to ensure data integrity and performance. You will also perform data modeling and exploratory data analysis to prepare and analyze data for machine learning solutions and deploy machine learning models. Creating dashboards and visualizations to support data-driven decision-making and transforming raw data into actionable insights are key aspects of this role. You will maintain product backlogs and document processes to support strategic and operational needs. Collaboration with stakeholders including data scientists, analysts, product managers, and engineering teams is essential for gathering requirements, delivering solutions, and communicating project status and risks. Developing, reviewing, and debugging code will be a daily activity.
Qualifications
Required Qualifications
- Bachelor's degree in Information Technology, Computer Science, Data Analytics or related field of study plus 7 years of experience in the job offered or as Software Engineer, Technical Lead, IT Consultant, or related occupation.
- Five (5) years of experience with developing applications using Java and Python.
- Five (5) years of experience with building, deploying, and maintaining enterprise grade data solutions at scale on AWS.
- Five (5) years of experience with delivering system design, application development, testing, and operational stability using Agile methodologies.
- Five (5) years of experience with delivering CI/CD processes using Jenkins, AWS Pipelines, GitHub Actions, and version control systems such as Git.
- Five (5) years of experience with designing and implementing data ingestion pipelines to stream datasets into the cloud data platform using Kafka or Kinesis.
- Five (5) years of experience with building and managing ETL pipelines.
- Five (5) years of experience with storing, computing, and orchestrating data using AWS cloud services including S3 for storage, AWS Lambda for event processing, AWS Glue for extract, transform, load and cataloging, and Amazon EC2 for custom or resource intensive processing.
- Five (5) years of experience with implementing quality controls and troubleshooting issues to maintain data integrity and performance using tools such as Splunk, Grafana, Datadog, AWS CloudWatch, or JMeter.
Skills & Technologies
About the Company
JPMorganChase
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Sign in to applyJob Details
Employment Type
Full Time
Experience Level
Senior
Salary Range
$186,160 – $215,000
Location
Boston, MA
Posted
1 day ago
Country
US