Python-Spark Scala

Technical Requirements: • Primary skills:Technology->Big Data - Data Processing->Spark,Technology->Functional Programming->Scala,Technology->Machine Learning->Python Responsibilities: 5–9 years of experience in Data Engineering / Big Data development. Strong hands-on experience with Python and Apache Spark (Scala & PySpark). Deep understanding of Spark architecture (RDD, DataFrames, Spark SQL). Experience in distributed computing and big data processing. Strong knowledge of SQL and data modeling concepts. Experience with data pipeline development (ETL/ELT). Familiarity with Linux/Unix environments. Experience with version control tools (Git). Preferred Skills: Technology->AI-Data science->PYTHON,Technology->Big Data - Data Processing->Spark->SparkSQL,Technology->Functional Programming->Scala