Description

Required Skills & Experience
8–13 years of experience in data engineering, big data processing, or related fields.
Strong proficiency in Python (data manipulation, functional programming, OOP).
Hands-on experience with PySpark for distributed data processing.
Solid understanding of data structures, algorithms, and complexity analysis.
Experience with big data platforms like Hadoop, Hive, or Databricks.
Strong knowledge of SQL and query optimization techniques.
Familiarity with cloud platforms such as AWS, Azure, or GCP.
Experience with data lake and data warehouse architectures.
Understanding of version control (Git) and CI/CD workflows.
Excellent problem-solving skills and ability to work independently

Key Skills

Education

Any Graduate