drjobs Data Engineer II-Python/Pyspark/AWS/Terraform

Data Engineer II-Python/Pyspark/AWS/Terraform

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1 Vacancy
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Job Location drjobs

Bengaluru - India

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Description

You thrive on diversity and creativity and we welcome individuals who share our vision of making a lasting impact. Your unique combination of design thinking and experience will help us achieve new heights.


As a Data Engineer II at JPMorgan Chase within the Commercial & Investment Bank Payments Technology team youare part of an agile team that works to enhance design and deliver the data collection storage access and analytics solutions in a secure stable and scalable way. As an emerging member of a data engineering team you execute data solutions through the design development and technical troubleshooting of multiple components within a technical product application or system while gaining the skills and experience needed to grow within your role.

Job responsibilities

  • Collaborate with all of JPMorgans lines of business and functions to delivery software solutions.
  • Experiment Architect develop and productionize efficient Data pipelines Data services and Data platforms contributing to the Business.
  • Design and implement highly scalable efficient and reliable data processing pipelines and perform analysis and insights to drive and optimize business result.
  • Organizes updates and maintains gathered data that will aid in making the data actionable
  • Demonstrates basic knowledge of the data system components to determine controls needed to ensure secure data access
  • Adds to team culture of diversity equity inclusion and respect

Required qualifications capabilities and skills

  • Formal training or certification on large scale technology program concepts and 2 years applied experience in Data Technologies.
  • Experienced programming skills with Java and Python.
  • Experience across the data lifecycle building Data frameworks working with Data lakes.
  • Experience with Batch and Real time Data processing with Spark or Flink
  • Basic knowledge of the data lifecycle and data management functions
  • Advanced at SQL (e.g. joins and aggregations)
  • Working understanding of NoSQL databases
  • Significant experience with statistical data analysis and ability to determine appropriate tools to perform analysis
  • Basic knowledge of data system components to determine controls needed
  • Good knowledge / experience on infrastructure as code.
Preferred qualifications capabilities and skills
  • Cloud computing: Amazon Web Service Docker Kubernetes Terraform
  • Experience in big data technologies: Hadoop Hive Spark Kafka.
  • Experience in distributed system design and development




Employment Type

Full-Time

Company Industry

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