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About the role
Bachelor’s degree with 2-6 years of proven experience in Python Strong programming skills in Python. Hands-on experience with PySpark, Spark SQL, and distributed data processing. Good understanding of ETL processes, data wrangling, and performance tuning in Spark. Experience with SQL, data lakes, and big data tools (e.g., Hadoop, Hive – optional). Familiarity with version control (Git), workflow orchestration tools (e.g., Airflow), and cloud platforms (AWS/GCP/Azure – optional). Strong analytical thinking, problem-solving skills, and ability to work in Agile teams.
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