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Job ID : 15326

Job Title : Big Data Developer

Location : Lewisville, TX

Company Name : JPMorgan Chase Bank, N.A.

Industry : Information Technology

Salary : $79,310 - $117,382  per year

Job Type : Fulltime

Posted on: 2020-09-01

Required Skills : Hadoop, Kafka, Spark, MapReduce, Hive/Pig, Impala/Drill, Sagemaker,

Benefits : No benefits are available

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 to 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

 Required 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 in 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 

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