PySpark Data Engineer III - Python/Java/SQL

Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.

Job responsibilities

• Executes software solutions, designs, develops, and troubleshoots software solutions, applying innovative thinking to solve complex technical challenges
• Write secure, high-quality production code and maintain robust algorithms that integrate seamlessly with enterprise systems using Python, Java, Agentic AI and coding assistants.
• Produce architecture and design artifacts for complex applications, ensuring all design constraints are met throughout software development
• Gather, analyze, and synthesize large, diverse data sets to develop visualizations and reporting to enable data-driven decision-making
• Design and implement robust data ingestion & curation pipelines to bring diverse datasets into the cloud / Databricks
• Contribute to software engineering communities of practice and participate in events exploring new and emerging technologies
• Foster a team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on Software Engineering concepts and 3+ years applied experience
• Practical experience in system design, application development, testing, and ensuring operational stability
• Strong in one or more programming languages including Python, Spark, Java and SQL.
• Experience developing, debugging, and maintaining code in a large corporate environment, using modern programming and database querying languages
• Comprehensive understanding of the Software Development Life Cycle (SDLC)
• Solid grasp of agile methodologies, including CI/CD, application resiliency, and security best practices
• Demonstrated expertise in software applications and technical processes within disciplines such as data platforms, cloud, Agentic AI frameworks and AI/ML

Preferred qualifications, capabilities, and skills

• Experience in data engineering, with a strong understanding of data modeling and ETL processing.
• Experience with Databricks, CockroachDB, Apache Iceberg, Trino, Springboot, Kafka, RESTful APIs and AWS.
• Familiarity with agentic AI frameworks such as ADK, LangChain/LangGraph, AutoGen or CrewAI