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JPMorganChase

Data Engineer II

Posted 6 Days Ago
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Hybrid
Hyderabad, Telangana
Junior
Hybrid
Hyderabad, Telangana
Junior
As a Software Engineer II, you will design, develop, and troubleshoot software components, focusing on data ingestion, analysis, and quality assurance within the agile banking team.
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Job Description
You're ready to gain the skills and experience needed to grow within your role and advance your career - and we have the perfect software engineering opportunity for you.
As a Software Engineer II at JPMorganChase within the Consumer and Community Banking, you are part of an agile team that works to enhance, design, and deliver the software components of the firm's state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software 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:
  • Work with Cloud Architect to identify data components and process flows
  • Design and Develop data ingestion processes into Hadoop/AWS Platform
  • Collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Identify, analyze, and interpret trends or patterns in complex data sets
  • Innovate new ways of managing, transforming and validating data
  • Establish and enforce guidelines to ensure consistency, quality and completeness of data assets
  • Apply quality assurance best practices to all work products

Required qualifications, capabilities, and skills:
  • Formal training or certification on software engineering concepts and 2+ years applied experience
  • Experience in a Big Data technologies (Spark, Glue, Hive, Redshift, Kafka, etc.)
  • Experience programming in Python/JAVA
  • Experience performing data analysis (NOT DATA SCIENCE) on AWS platforms
  • Experience with data management process on AWS is a huge Plus
  • Experience in implementing complex ETL transformations on big data platform like NoSQL databases (Mongo, DynamoDB, Cassandra)
  • Familiarity with relational database environment (Oracle, Teradata, etc.) leveraging databases, tables/views, stored procedures, agent jobs, etc.
  • Strong development discipline and adherence to best practices and standards
  • Demonstrated independent problem solving skills and ability to develop solutions to complex analytical/data-driven problems
  • Experience of working in a development teams using agile techniques

Top Skills

AWS
Cassandra
DynamoDB
Glue
Hadoop
Hive
Java
Kafka
MongoDB
NoSQL
Oracle
Python
Redshift
Spark
Teradata

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