Developer

Must-Have** Strong proficiency in Python programming. Hands-on experience with PySpark and Apache Spark . Knowledge of Big Data technologies (Hadoop, Hive, Kafka, etc.). Experience with SQL and relational/non-relational databases. Familiarity with distributed computing and parallel processing . Understanding data engineering best practices. Experience with REST APIs , JSON/XML , and data serialization. Exposure to cloud computing environments. 5+ years of experience in Python and PySpark development. Experience with data warehousing and data lakes . Knowledge of machine learning libraries (e.g., MLlib) is a plus. Strong problem-solving and debugging skills. Excellent communication and collaboration abilities.