Experience with ETL techniques and dealing with different data types and formats.
Strong knowledge of different database systems, both RDBMS SQL and NoSQL. Hive/HBase is an advantage
Strong knowledge and experience in using Cloud (AWS, Azure, GCP)
Experience with SDLC (Software Development Life Cycle) such as Agile Scrum, Kanban, Jira
Familiarity with data processing tools and frameworks (e.g., Airflow, Hadoop, Spark).
Experience with Azure DevOps, Dockers, and Kubernetes is desired.
Strong expertise in Python and SQL.
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