Jpmorgan Chase & Co. Houston , TX 77020
Posted 2 weeks ago
JobID: 210513617
Category: Data Engineering
JobSchedule: Full time
Posted Date: 2024-05-03T17:58:47+00:00
JobShift:
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Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference.
As a Lead Data Engineer at JPMorgan Chase within the Legal Technology team, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm's business objectives.
Job responsibilities
Delivers data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way
Implements database back-up, recovery, and archiving strategy
Evaluates and reports on access control processes to determine effectiveness of data asset security with minimal supervision
Builds solutions using AWS Cloud Services for compute, storage, databases, and security
Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 5+ years applied experience
Experience and proficiency across the data and software development lifecycle
Hands on Experience with AWS Cloud Services and strong understanding of AWS networking, security, IAM roles, monitoring and application debugging
Advanced experience in Python and distributed computing frameworks such as PySpark
Expertise working on AWS Cloud Based applications development using AWS Cloud Formation, Redshift, IAM and S3
Hands-on Experience using an IAC tools such as Terraform
Hands-on experience building AWS data pipelines using Lambda, SQS, SNS, AWS Athena, Glue, EMR
Proficiency in automation and continuous delivery methods
Proficiency with ETL tools ( Informatica) and data analytics tools (Splunk, Cloudwatch, Datadog metrics)
Advanced understanding of Agile methodologies such as CI/CD, Application Resiliency, and Security
Preferred qualifications, capabilities, and skills
Experience with Data Migrations from a on-premise database to cloud.
Experience working with ML-Ops projects
Experience building test automation frameworks for Data lake
AWS Certifications
Jpmorgan Chase & Co.