Python Data Engineer II

You thrive on diversity and creativity, and we welcome individuals who share our vision of making a lasting impact. Your unique combination of design thinking and experience will help us achieve new heights.

• 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
• 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, 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

• Formal training or certification on Software Engineering concepts and 2+ years applied experience
• Experience in ETL process/Advance concepts
• Hands‑on practical experience in system design, application development, testing, and operational stability
• Experience in AWS, design, implementation, and maintenance of data pipelines using Python and Py Spark
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Proven experience in performance and tuning to ensure jobs are running at optimal levels and no performance bottleneck
• 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.)
• Proficiency in Unix scripting, data structures, data serialization formats such as JSON, AVRO, Protobuf, or similar, big‑data storage formats such as Parquet, Iceberg, or similar, data processing methodologies such as batch, micro‑batching, or stream, one or more data modelling techniques such as Dimensional, Data Vault, Kimball, Inmon, etc., Agile methodology, TDD or BDD and CI/CD tools

• Python Advance development skills / Kafka & S3 integration in Performance optimization
• Experience in carrying out data analysis to support business insights
• Strong in PySpark, AWS, & Snowflake