Primary Responsibilities:

Work collaboratively within a sprint team and with the product owner, architecture, and engineering teams to design, develop, test, deploy, and support solutions focused on data delivery.

Contribute towards high quality technology solutions with a focus on software craftsmanship.

Ensure solutions meet security requirements, including handling of PCI Data Standards

Work with the Data Engineering and Infrastructure teams on data availability, performance, and capacity planning.

Drive data solutions across multiple geographical locations, meeting data governance, risk & controls, and standardization requirements

Agile team player who actively engages in communications, problem resolution, and effective delivery within and outside the team.

Problem solving and analytical analysis

Qualifications:

6+ years' experience with building large scale big data applications

In-depth understanding of inner workings of big data technologies like Hadoop, Kafka, Spark, MapReduce, Hive/Pig, Impala/Drill, Sagemaker, Athena, Glue, EMR, S3, Glacier storage

Extensive experience with non-relational (NoSQL) DBMS (such as HBase, MongoDb, Cassandra, Dynamo DB)

Hands on experience with Kafka (producers, consumers, topic partition, replication etc)

Experience in writing programs using python or Scala

Hands on experience with AWS components like (EMR, S3, DynamoDB, Lamdba, Workflow API, Step Functions, Kinesis Firehose ) in production environments

Experience with Java(8) , Reactive programming, Spring framework(spring boot)

Experience building streaming or batch processing data pipeline.

Experience with cloud (AWS) and other emerging technology solutions in enterprise data management.

Experience implementing customer data integration / master data management processes.

Experience with microservices /API development, management and have a solid understanding of distributed system concepts.

Experience working with automated build and continuous integration systems (CI/CD)

Possess a can-do, no-problem-too-big-or-too-small attitude.

A strong understanding of Agile development methodologies

BS/MS in computer science or a related field, or professional experience in data engineering and data management.

Desired qualifications

Having skills in the below areas is a major plus that will help the candidate integrate within the team and environment but is not a requirement.
* Experience with Data Science and Machine Learning
* Experience with data visualization tools: Hue, Kibana, Qlikview, Tableau
* Experience in next generation platforms such as cloud (AWS, Azure), PaaS, mobile
* Experience with Event Driven Architecture
* Experience developing software using continuous integration/deployment pipeline that includes vendor solutions
* Experience with resource management (Spark, Yarn queues, Impala pools)
* Experience with Splunk, Elastic Search

Previous exposure to financial services, credit cards or merchant analytics

Public cloud(AWS/Azure/Google) certification

Experience with Cloud migration strategy

JPMorgan Chase & Co. is an equal opportunity employer and affirmative action employer Disability/Veteran.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.

Equal Opportunity Employer/Disability/Veterans