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JPM
JPMorgan Team Lead Software Engineer - Java / AWS United States, Ohio, Columbus
University degree or equivalent completed or in progress. Fluent English is mandatory, both written and verbally. Formal communication in English is required on the daily tasks. Portuguese is a plus....
Work with partners in Real Estate, Corporate Strategy, Distribution Strategy, Data and Analytics, and various lines of business to understand and document analytic project objectives, deliverables, and timelines. Ensure constant...
Job : Collaborate with cross functional teams to understand requirements and translate them into technical solutions. Design and develop data pipelines to preprocess and transform data for AI/ML models. Train...
Provides recommendations and insight on data management, governance procedures, and intricacies applicable to the acquisition, maintenance, validation, and utilization of data. Designs and delivers trusted data collection, storage, access, and...
Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors. Develops secure and high-quality production code, and reviews and debugs code written by...
Work collaboratively with Finance users, Technology, and external vendors to deliver innovative regulatory reporting solutions, including process re-engineering. Act as a product owner by partnering with business users and technology...
DESCRIPTION: Duties: Design, develop and implement software solutions. Develop microservices for global users, user interfaces, cloud based applications and their designs, CI/CD, and observability tools. Solve business problems through innovation...
University degree or equivalent completed or in progress. Fluent English is mandatory, both written and verbally. Formal communication in English is required on the daily tasks. Portuguese is a plus....
Data Engineers are responsible for designing, building, and maintaining the infrastructure and systems that support data management and analysis. They work closely with data scientists, data analysts and other stakeholders to ensure that data is properly collected, stored, and processed to meet the needs of the organization.
Data Engineers are well-versed in a variety of programming languages and technologies, including SQL, Python, and Java, as well as big data technologies like Hadoop and Spark. They have experience in data warehousing, data modeling, and data integration. They also have experience with cloud-based data storage and processing solutions like AWS Redshift and Google BigQuery.