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Chase · 1 month ago

Software Engineer III - Databricks and PySpark Developer

10 S Dearborn St, Chicago, IL, 60603, US

Full-time

Onsite

Mid Level

$114K/yr - $155K/yr

3+ years exp

Chase is a leading financial services firm, and they are seeking a Software Engineer III - Databricks and PySpark Developer to join their Commercial and Investment Banking team. In this role, you will design and deliver technology products while executing software solutions and enhancing data processing performance across various business functions.

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

Support review of controls to ensure sufficient protection of enterprise data and advise and makes custom configuration changes in one to two tools to generate a product at the business or customer request

Update logical or physical data models based on new use case and use SQL and understands NoSQL databases and their niche in the marketplace

Analyze, design, develop and drive performance enhancements, you will focus on significantly increasing default ingestion speeds to meet the substantial data demands, ensuring our systems operate at peak efficiency

Implement automation, optimization, performance tuning and scaling techniques to ensure efficient pipeline performance

Handle new and complex challenges, continuously seeking innovative solutions to improve data processing and performance

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

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

Qualification

DatabricksPySparkAWSPythonSQLData engineeringCloud architectureETL frameworkAgile methodologiesProblem-solvingTeamwork

Required

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

Proficiency in Databrick, AWS and PySpark for data processing and analytics and Databricks Cluster configuration, Unity catalog repository configuration

Strong programming skills in Python with experience in writing complex SQL queries

Advanced at SQL (e.g., joins and aggregations, window functions)

Experience in data engineering and Cloud architecture specifically with Databricks and AWS

Proven experience and ability to migrate the Data load models developed on ETL framework to the multi node Databricks compute

Understanding of system architectures, and design patterns and should be able to design and develop applications using these principles

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

Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred

Experience in Data modeling

Experience in AI/ML models

Working understanding of NoSQL databases

Experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis

Excellent problem-solving skills to be able to structure the right analytical solutions and have a strong sense of teamwork, ownership, and accountability

Ability to work in a fast-paced environment with tight schedules

Strong understanding of developing data warehouses, data marts, etc