Senior Data Software Engineer/ Databricks, Apache Spark, PySpark

We are seeking a skilledSenior Data Software Engineerwith strong expertise inPySpark,SQL, andunit testing to join our data engineering team. The ideal candidate will have hands-on experience withApache Spark, preferably within theDatabricks environment, and will be responsible for building scalable data pipelines, optimizing data workflows, and ensuring code quality through rigorous testing practices.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Apache Spark (Databricks preferred)
• Write efficient and optimized PySpark code for data transformation and processing
• Develop and execute complex SQL queries for data extraction, validation, and reporting
• Implement unit tests using pytest to ensure code reliability and maintainability
• Collaborate with data scientists, analysts, and other engineers to deliver high-quality data solutions
• Monitor and troubleshoot data workflows and performance issues
• Document technical designs, processes, and best practices

Requirements

• 3+ years of experience in Data Software Engineering
• Proven experience with Apache Spark, ideally in a Databricks environment
• Proficiency in PySpark and SQL
• Background in unit testing frameworks, especially pytest
• Understanding of data engineering principles and ETL processes
• Familiarity with version control systems (e.g., Git)
• Ability to work independently and in a collaborative team setting
• Excellent problem-solving and communication skills
• Proficiency in English at an Upper-Intermediate level (B2) or higher

Nice to have

• Experience with cloud platforms (e.g., Azure, AWS, GCP)
• Knowledge of CI/CD pipelines and DevOps practices
• Familiarity with Delta Lake, MLflow, or other Databricks-native tools