Data Analytics Technical Architect - Chase Auto Finance Job Listing at Chase in NJ, New Jersey (Job ID 130001479)

Finance

Chase is a leader in the financial services industry, providing banking, mortgages, credit cards, loans, payment processing and investment services to 50 million customers - 1 out of every 6 Americans. As a division of JPMorgan Chase Co. (NYSE:JPM), we:

• Serve 21 million households with consumer banking relationships
• Lent $17 billion to small businesses in 2011
• Are one of the nation's largest credit card issuers, with more than 64 million credit cards in circulation
• Service 8 million mortgage and home equity loans

While we operate across a broad range of businesses, our mission at Chase is quite simple: to be the industry leader in customer service. Our employees put the firm's resources to work every day for our customers. Chase offers a dynamic environment and the training and support to meet your full potential. Our company is widely recognized as a great place to work, to grow and to invest for the future. Join our team. The Chase Auto Finance (CAF) Data Management Program is a multi-year technology initiative to support CAF and enterprise data management processes addressing operational, financial, regulatory and analytical reporting requirements. The program includes the long term development of a strategic platform for CAF with data sourcing, data enrichment, analytical, monitoring and reporting capabilities. This platform will also integrate with cross-LOB efforts to create a single consolidated customer view. The CAF Data Management team is looking for a highly motivated individual that will havea strong foundational knowledge and experience with distributed systems and computing systems with hands-on engineering skills. Experience with a range of big data architectures and broad understanding and experience of real-time analytics, NoSQL data stores, big data analytics products. In addition, experience with data modeling and data management, analytical tools, languages, or libraries is required. The role is heavily collaborative, working closely with several internal business units as well as a firm-wide organization driving standards and best practices and the candidate will have several years experience working in client-focused roles. Key Areas of Responsibility: This individual will be responsible for guiding the full lifecycle of aBig Data Analyticssolution, including requirements analysis, platform selection, technical architecture design, application design and development, testing, and deployment. We are looking for candidates with a broad set of technology skills to be able to design and build robust solutions for big data problems and learn quickly as the platform grows. Skills:

• Hands-on experience with the Hadoop stack (e.g. MapReduce, Sqoop, Pig, Hive, Hbase, Flume)
• Hands-on experience with related/complementary open source software platforms and languages (e.g. Java, Linux, Apache, Perl/Python/PHP, Chef)
• Hands-on experience with ETL (Extract-Transform-Load) tools (e.g Informatica, Talend, Pentaho)
• Hands-on experience with analytical tools, languages, or libraries (e.g. SAS, SPSS, R, Mahout)
• Hands-on experience with "productionalizing" Hadoop applications (e.g. administration, configuration management, monitoring, debugging, and performance tuning)
• Previous experience with high-scale or distributed RDBMS (Teradata, Netezza, Greenplum, Aster Data, Vertica)
• Knowledge of NoSQL platforms (e.g. key-value stores, graph databases, RDF triple stores)
• Experience with at least 4 of the following activities in the context of high-scale or distributed systems:
  • 1. Implementation of ETL applications
  • 2. Implementation of reporting applications
  • 3. Application/implementation of custom analytics
  • 5. Data migration from existing data stores
  • 6. Infrastructure and storage design