Role & responsibilities
Solid 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.
experience in Python and PySpark development.
Experience with data warehousing and data lakes.
Knowledge of machine learning libraries (e.g., MLlib) is a plus.
Robust problem-solving and debugging skills.
Excellent communication and collaboration abilities