We are seeking an experienced Python + Databricks Developer to join our data engineering team. The ideal candidate will have a strong background in Python programming, data processing, and hands-on experience with Databricks for building and optimizing data pipelines.

Key Responsibilities :

- Design, develop, and maintain scalable data pipelines using Databricks and Apache Spark.

- Write efficient Python code for data transformation, cleansing, and analytics.

- Collaborate with data scientists, analysts, and engineers to understand data needs and deliver high-performance solutions.

- Optimize and tune data pipelines for performance and cost efficiency.

- Implement data validation, quality checks, and monitoring.

- Work with cloud platforms (preferably Azure or AWS) to manage data workflows.

- Ensure best practices in code quality, version control, and documentation.

Required Skills & Experience :

- 5+ years of professional experience in Python development.

- 3+ years of hands-on experience with Databricks (including notebooks, clusters, Delta Lake, and job orchestration).

- Strong experience with Spark (PySpark preferred).

- Proficient in working with large-scale data processing and ETL/ELT pipelines.

- Solid understanding of data warehousing concepts and SQL.

- Experience with Azure Data Factory, AWS Glue, or other data orchestration tools is a plus.

- Familiarity with version control tools like Git.

- Excellent problem-solving and communication skills.