Description

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Data Engineering, Engineering, or a related discipline.
• Minimum 3–5 years of professional experience in Data Engineering or Big Data development.
• Hands-on experience with Azure Databricks and Apache Spark.
• Strong expertise in Azure Data Lake Storage (ADLS Gen2).
• Advanced proficiency in Python, PySpark, Spark SQL, and SQL.
• Experience designing enterprise-scale ETL/ELT pipelines.
• Strong understanding of Delta Lake architecture and Lakehouse concepts.
• Experience processing structured, semi-structured, and unstructured datasets.
• Knowledge of distributed computing and big data processing frameworks.
• Experience using Git and CI/CD practices.
• Strong analytical, communication, and problem-solving skills

Key Skills

Education

Bachelor's degree