Bulge Bracket Investment Banks

Software Engineer II - ETL/Reporting

at J.P. Morgan

Mid LevelNo visa sponsorshipData Engineering

Posted 19 days ago

No clicks

Compensation: Not specified
City: Bengaluru
Country: India

Experienced Software Engineer role on JPMorgan Chase's Global Technology team focused on designing and delivering AWS-based ETL and reporting solutions. You will build scalable, resilient data ingestion and processing pipelines using services like Glue, EMR, S3, Lambda and develop visualizations and reporting from large datasets. The role involves coding in Python/PySpark, working in an agile team, ensuring production quality, and contributing to architecture, CI/CD, and operational stability.

Location: Bengaluru, Karnataka, India

Description

Push the limits of what’s possible with us as an experienced member of our Software Engineering team.

As an Experienced Software Engineer at JPMorgan Chase within the Global Technology team, you serve as member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. Depending on the team that you join, you could be developing mobile features that give our customers and clients more control over how they bank with us, strategizing on how big data can make our trading systems quicker, creating the next innovation in payments for merchants, or supporting the integration of our private and public cloud platforms.

Job Responsibilities

Design and develop scalable and resilient systems using AWS ETL to drive continual, iterative improvements for product teams.

Execute software solutions, including design, development, and technical troubleshooting.

Create secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems.

Produce or contribute to architecture and design artifacts for applications, ensuring software code development meets design constraints.

Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets to support continuous improvement of software applications and systems.

Identify hidden problems and patterns in data, using insights to drive improvements in coding hygiene and system architecture.

Contribute to software engineering communities of practice and participate in events exploring new and emerging technologies.

Add to a team culture of diversity, opportunity, inclusion, and respect.

Collaborate with cross-functional teams to deliver robust solutions.

Implement best practices for code quality, testing, and deployment.

Support ongoing maintenance and enhancement of existing systems.

Required Qualifications, Capabilities, and Skills

Formal training or certification on software engineering concepts and 3+ years applied experience
Demonstrate hands-on experience in system design, application development, testing, and operational stability.
Code proficiently using Glue and EMR.
Develop and manage SQL and NoSQL databases.
Utilize AWS cloud technologies effectively in engineering solutions.
Apply comprehensive knowledge of the Software Development Life Cycle.
Understand and implement agile methodologies, including CI/CD, application resiliency, and security.
Apply expertise in software applications and technical processes within disciplines such as cloud and artificial intelligence.
Develop applications using multiple Cloud and Traditional Data Engineering technologies, including AWS services like Glue, EMR, and data warehouses.
Develop data ingestion solutions from on-premise applications to private cloud AWS using services such as S3, Lambda, SQS, Event Bridge, Glue/Glue Studio/Glue workflows/Glue Data Catalogue, CloudWatch, Aurora MySQL/PostgreSQL, and EMR with Python/PySpark.
Apply advanced understanding of KMS and IAM services.

Preferred Qualifications, Capabilities, and Skills

Demonstrate proficiency in software engineering disciplines, including business analysis, development, testing, deployment, maintenance, and improvement of software.

Work with streaming services such as Kafka, AWS MSK, Confluent Kafka, or equivalent services.

Implement CI/CD processes in AWS Cloud environments and utilize Infrastructure as Code services such as Terraform or CloudFormation.

Apply knowledge in QuickSight, Sigma, Knowledge Graphs, and GraphDB.

Serve as an emerging member of an agile team to enhance, build and deliver technology products with our dynamic, innovative team.

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