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We are seeking a dedicated and enthusiastic Junior Developer to support automation and innovation initiatives across multiple strategic projects. The ideal candidate will have a solid foundation in Python, with exposure to Spark, Hadoop, and cloud platforms considered a strong asset. This role offers hands-on experience, mentorship, and opportunities for continuous learning and career growth. Is this role right for you? In this role, you will: Design, build, and maintain scalable data pipelines using Apache Spark, PySpark, Apache Beam, or Flink. Develop and enhance ETL/ELT workflows using Airflow and ETL tools such as Talend, Spring Batch, or NiFi. Work with structured and semi‑structured data (CSV, JSON, XML, Parquet, ORC, Iceberg) and apply data wrangling techniques using Python and pandas. Contribute to Test Automation Framework enhancements, ensuring reusable and scalable automation components. 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