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AI Engineering Data Engineer Data Management

6.00 to 8.00 Years   Bangalore   30 Mar, 2019
JPMorgan
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
Industryanking / Financial Services
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

ResponsibilitiesAs a Data Engineer, the successful candidate will be leading the development of key aspects of JP Morgan s Asset and Wealth Management platforms:

  • Design and development big data architectures and data processing / injection pipelines.
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Perform design, development for new product features.
  • Understand product vision and business needs to define product requirements and product architectural solutions.
  • Develop architectural and design principles to improve performance, capacity, and scalability of product.
  • Create and maintain optimal data pipeline architecture
  • Building reusable code and libraries for future use
  • Implementation of security and data protection
The successful candidate will have experience in working in innovative projects with fast-paced delivery schedules in startups & large enterprises:
  • Passionate about Big Data, AI and Machine Learning technologies.
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of SQL and NoSQL databases.
  • Experience building and optimizing big data data pipelines, architectures and data sets.
  • Strong analytic skills related to working with unstructured datasets.
  • Strong project management and organizational skills.
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • Experience in user authentication and authorization between multiple systems, servers, and environments
  • Experience in Integration of multiple data sources and databases into one system
  • Proficient knowledge in Java, JavaScript and Node.JS application development paradigm
  • Proficient understanding of code versioning tools, such as Git
  • Proficient in microservices, API gateway, Containerizaion and implementation of same
  • Experience with big data tools: Hadoop, Spark, Kafka, etc.
  • Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
  • Experience with object-oriented/object function scripting languages: Python, Scala, etc.
  • 6+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
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Keyskills :
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