Role & responsibilities

• 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 of 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.