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hackajob · 2 hours ago

Software Engineer III - Data Engineer, Spark, Databricks, SQL

Plano, TX

Full-time

Onsite

Mid Level

3+ years exp

hackajob is collaborating with J.P. Morgan to connect them with exceptional tech professionals for this role. The Software Engineer III - Data Engineer will be responsible for developing high-quality production code, troubleshooting technical issues, and leveraging large data sets to drive improvements in software applications.

Artificial Intelligence (AI)Generative AIHuman ResourcesRecruitingSoftware

Responsibilities

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

Develops secure high-quality production code, and reviews and debugs code written by others

Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems

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

Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies

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

Qualification

PythonApache SparkSQLAWSDatabricksUnixGITJavaData modelingKafkaObject-Oriented design

Required

Formal training or certification on Software Engineering concepts and 3+ years applied experience

Proven hands-on experience in Python or Java development on data platforms, including practical expertise with Apache Spark for large-scale data processing

Strong proficiency in SQL for data querying, transformation, and analysis

Experience with cloud data platform technology stacks such as AWS S3, Snowflake, and Databricks, with hands-on expertise in Spark, SQL, Unix, AWS, and data modeling

Knowledge of application, data, and infrastructure architecture disciplines

Knowledge of GIT, bitbucket, Maven, Jenkins, JIRA, Control-M or equivalent tools

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