Job Description

Key Responsibilities

• Work with the business to understand priorities & requirements
• Identify, analyze, and interpret trends or patterns in complex data sets
• Innovate new ways of managing, sourcing, transforming and validating data
• Establish and enforce guidelines to ensure consistency, quality and completeness of data assets
• Apply quality assurance best practices to all work products
• Analyze, design and code business-related solutions, as well as core architectural changes, using an Agile programming approach resulting in software delivered on time and in budget
• Deeply passionate about learning and innovating using the latest and greatest in big data engineering, cloud
• Work in globally distributed team and follow agile development practices
• Comfortable in learning cutting edge technologies and applications to greenfield projects
• Provide support for existing application primarily developed using Java, Oracle
• Dependable, results oriented and possess excellent communicational skills
• Strong attention to detail and ability to manage multiple projects and stakeholders

Requirements

Mandatory:

DB, ETL

• 2+ years of experience in designing and implementing datawarehousing solutions
• Bachelor's or Master's degree in Computer Science/Software Engineering or a related field
• Sound understanding of various data solution patterns and when to use them: ETL/ELT, RDBMS, Normalization/De-normalization, Key-Value, In-Memory, Wide Column, Columnar, Graph, Text Indexing, Streaming, Messaging
• Knowledge of data architecture, data warehousing, data modeling and data manipulation skills, such as in SQL, Stored Procedures, MySQL, Oracle, SQL Server, PostgreSQL
• Business Driven and Test-driven development experience
• Familiar with CI/CD and SDLC development tools such as Jenkins, Jira, Git/Stash etc

Nice to Have:

• Hands-on experience in designing and implementing data solutions on Amazon Web Services (AWS), using offerings such as: S3, Athena, Glue, EMR, Lambda, RDS, EC2, Elasticache, Redshift
• Knowledge of data architecture, data warehousing, data modeling and data manipulation skills, such as in SQL, Stored Procedures, MySQL, Oracle, SQL Server, PostgreSQL
• Knowledge of traditional big data systems, such as Hadoop, Impala, Sqoop, Oozie, Hive, Hbase
• Experience with containers, Kubernetes, Docker, Amazon EKS, Amazon ECS

JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. 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. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.