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Chase · 1 day ago

Platform Software Engineer III- ETL / AWS/ Python / Pyspark

575 Washington Blvd, Jersey City, NJ, 07310, US

Full-time

Onsite

Mid Level

$133K/yr - $185K/yr

3+ years exp

Chase is one of the oldest financial institutions, offering innovative financial solutions. The Platform Software Engineer III will design and deliver technology products, focusing on developing scalable data pipelines and implementing cloud-based solutions.

BankingFinancial Services

Responsibilities

Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems

Designs, develops, and implements scalable data pipelines and ETL batches using Python/PySpark on AWS

Uses infrastructure as code tools to build applications to orchestrate and monitor data pipelines, create and manage on-demand compute resources on cloud programmatically, and create frameworks to ingest and distribute data at scale

Stays up-to-date with emerging technologies and industry trends to drive innovation and continuous improvement

Leverage AI coding assist tools to accelerate software development, testing and delivery

Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems

Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development

Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems

Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture

Contributes to software engineering communities of practice and events that explore new and emerging technologies

Adds to team culture of diversity, opportunity, inclusion, and respect

Qualification

PythonPySparkAWSETL processesCloud DevOps practicesSQL databasesNoSQL databasesData modelingData architectureMachine learning knowledgeData visualization toolsSoft skills

Required

Formal training or certification on software engineering concepts and 3 + years applied experience

Hands-on practical experience in system design, application development, testing, and operational stability

Experience in software development and data engineering, with demonstrable hands-on experience in Python and PySpark

Proven experience with cloud platforms such as AWS, Azure, or Google Cloud

Good understanding of data modeling, data architecture, ETL processes, and data warehousing concepts

Experience or good knowledge of cloud native ETL platforms like Snowflake and/or Databricks

Experience with big data technologies and services like AWS EMRs, Redshift, Lambda, S3

Proven experience with efficient Cloud DevOps practices and CI/CD tools like Jenkins/Gitlab, for data engineering platforms

Good knowledge of SQL and NoSQL databases, including performance tuning and optimization

Experience with declarative infra provisioning tools like Terraform, Ansible or CloudFormation

Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages