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Software Engineer II Spark Data Engineer

Software Engineer II Spark Data Engineer

JPMorgan Chase Bank

0 - 4 years

9 - 13 Lacs

Hyderabad

Posted:1 week ago| Platform:

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Skills Required

Automation Front end Debugging Machine learning Agile System design Application development Troubleshooting Teradata Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

As a Software Engineer II at JPMorgan Chase within the Corporate Technology, 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

Executes standard software solutions, design, development, and technical troubleshooting
Building pipelines in spark, tuning spark queries
Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity
Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems
Stay up-to-date with the latest advancements in GenAI and LLM technologies and incorporate them into our data engineering practices.

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 2+ years applied experience
Hands-on practical experience in system design, application development, testing, and operational stability
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
Background with Machine Learning Frameworks and Big Data technologies such as Hadoop.
Strong experience in programming languages such as Java or Python
Python Machine Learning library and ecosystem experience ( Pandas and Numpy etc)
Experience with Cloud technologies such as AWS or Azure.
Experience working with databases such as Cassandra, MongoDB or Teradata
Experience across the whole Software Development Life Cycle
Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security
Experience with Generative AI and Large Language Models, and experience integrating these technologies into data workflows

Preferred qualifications, capabilities, and skills

Familiarity with modern front-end technologies
Exposure to cloud technologies

Job responsibilities

Executes standard software solutions, design, development, and technical troubleshooting
Building pipelines in spark, tuning spark queries
Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity
Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems
Stay up-to-date with the latest advancements in GenAI and LLM technologies and incorporate them into our data engineering practices.

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 2+ years applied experience
Hands-on practical experience in system design, application development, testing, and operational stability
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
Background with Machine Learning Frameworks and Big Data technologies such as Hadoop.
Strong experience in programming languages such as Java or Python
Python Machine Learning library and ecosystem experience ( Pandas and Numpy etc)
Experience with Cloud technologies such as AWS or Azure.
Experience working with databases such as Cassandra, MongoDB or Teradata
Experience across the whole Software Development Life Cycle
Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security
Experience with Generative AI and Large Language Models, and experience integrating these technologies into data workflows

Preferred qualifications, capabilities, and skills

Familiarity with modern front-end technologies
Exposure to cloud technologies

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Software Engineer II Spark Data Engineer