Software Engineer II- Data Engineer

United States Digital Space LLC; Maharashtra; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

JPMorgan Chase, in the Consumer & Community Banking Cards Technology team, seeks a Software Engineer II to design, enhance, and deliver secure, scalable data platforms for collection, storage, access and analytics across multiple pipelines and consumers.

You will build high-quality production code, leverage AI-assisted tools, implement backup and security best practices, and contribute to architecture while collaborating in an agile environment.

Qualifications

• Formal training or certification in software engineering concepts and 2+ years applied experience.
• Experience with AWS cloud technologies, including S3.
• Experience with SQL-based technologies (e.g., MySQL/ Oracle DB).
• Experience in Java and Python programming language.
• Hands-on experience using enterprise-authorized AI-assisted software development tools with demonstrated ability to critically evaluate AI outputs.
• Understanding of responsible AI use in engineering workflows and data handling.
• Experience in developing, debugging, and maintaining code in a large corporate environment.
• Experience in data de/serialization (e.g., Parquet, Iceberg, Avro, JSON-LD) and AWS security controls.
• Hands-on delivery experience building data lakes and pipelines on AWS using Lake Formation, S3, Glue Catalog, Athena, Glue ETL/EMR; streaming with Kinesis or MSK; orchestration with Airflow or serverless workflows.

Responsibilities

• Executes software solutions, design, development, and troubleshooting with ability to handle non-routine problems.
• Creates secure, high-quality production code and maintains running algorithms.
• Leverages enterprise AI coding assist tools to improve code quality and speed, validated by peer reviews and tests.
• Produces architecture and design artifacts for complex applications and ensures design constraints are met.
• Applies SDLC tooling and automation to improve value realization.
• Develops visualizations and reports from large data sets for continuous improvement.
• Designs and delivers trusted data platform solutions in a secure, scalable way.
• Defines database backup, recovery, and archiving strategy.

Skills

Python

Java

SQL

AI-assisted development

Security best practices

Data analytics

Education

Software engineering concepts training

Tools

AWS (S3)

Lake Formation

Glue Catalog

Athena

Glue ETL/EMR

Kinesis

Airflow

Lambda

Step Functions

EventBridge

IAM

KMS

Secrets Manager

Job description

JOB DESCRIPTION

As a Software Engineer II at JPMorgan Chase within the Consumer & Community Banking Cards Technology team, you are an integral member of an agile engineering team responsible for designing, enhancing, and delivering secure, stable, and scalable solutions for data collection, storage, access, and analytics. You will leverage your deep technical expertise and problem-solving skills to promote meaningful business outcomes, addressing a wide range of challenges across multiple data pipelines, data architectures, and downstream data consumers.

Job responsibilities

• Executes software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems.
• Designs and delivers trusted data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way
• Defines database back-up, recovery, and archiving strategy

Required qualifications, capabilities, and skills

• Formal training or certification in software engineering concepts and 2+ years applied experience
• Experience with AWS cloud technologies, including S3
• Experience with SQL-based technologies (e.g., MySQL/ Oracle DB)
• Experience in Java and Python programming language
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations.
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Experience in data de/serialization (at least two of Parquet, Iceberg, Avro, JSON-LD) and solid understanding of AWS security controls including IAM, service roles, encryption, KMS, Secrets Manager, and Lake Formation governance
• Hands-on delivery experience building data lakes and pipelines on AWS using Lake Formation, S3, Glue Catalog, Athena, and Glue ETL/EMR; streaming with Kinesis or MSK; orchestration with Airflow or serverless workflows (Lambda + Step Functions + EventBridge)

Preferred qualifications, capabilities, and skills

• Snowflake knowledge or experience preferred
• In-depth knowledge of the financial services industry and their IT systems
• Worked with building Data lake, built Data platforms, built Data frameworks, Built/Design of Data as a Service AP

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