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Data Architect Associate

3.00 to 4.00 Years   Bangalore   14 Jun, 2019
JPMorgan
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryBanking / Financial Services
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

The candidate must have the ability to partner with stakeholders inside and outside of the department to understand their needs and design and develop robust data solutions that meet and/or exceed customer expectations. The ideal candidate will possess JPM institutional data and system knowledge, technical skills, an understanding of data science, and a commitment to producing high quality results.Other responsibilities will include the following:

  • Facilitate use case & requirements definition, design, testing, and implementation of new data assets and analytic capabilities that address specific business needs
  • Enable the management of data as a corporate asset: define data (metadata), identify systems of record and authoritative sources, create data quality rules, define security requirements, create data flow diagrams, and administer firm-wide principles, standards, and controls
  • Create conceptual & logical models to describe a particular domain of data and use these models to inform the physical design of data-related projects
  • Develop strategic roadmaps for the customer data domain that describe a sequence of projects to improve management and utility of the data for the business
  • Identify areas for efficiency across data domains, such as the elimination of duplicate data or platforms
  • Profile, wrangle, and prepare data from diverse sources to support analytical efforts
  • Write data transformation logic in languages such as Python, SAS, Spark, or Scala.
  • Conduct business process analysis and identify data needed to support the processes and determine whether the firm s data is fit for use within a given process
  • Conduct research and development with emerging technologies, determine their applicability to business use cases, document & communicate their recommended use in the firm
Educational RequirementThe candidate must have an educational background in Computer Science, MIS, Software Engineering, or a related discipline. In addition, the candidate must have a minimum of a Bachelor s degree with 7 years of experience or a Master s degree with 5 years of experience.Required Skills
  • 5+ years of experience as a lead or key participant on data infrastructure related efforts
  • Advanced analytical thinking and problem solving skills
  • Deep technical knowledge of data infrastructure practices and tools
  • In-depth knowledge of consumer and wholesale banking data
  • Knowledge of version control tools and processes (e.g. Subversion, Git)
  • Technical understanding of common RDBMS systems; (e.g. Teradata, Oracle)
  • Understanding of Hadoop-related technologies & their applications
  • Hands-on experience with various data modeling techniques and tools
  • Excellent command of the SQL language
  • Must have ability to deliver high-quality results under tight deadlines and be comfortable manipulating and summarizing large quantities of data
Preferred Skills
  • 3+ years working with extremely large data sets in the Hadoop big data processing stack using MapReduce, Hive, SparkSQL, Sqoop, HDFS, and Spark
  • Knowledge of the consumer lending lifecycle, including loan origination, sale/servicing, default management/loss mitigation
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