- Proven experience as a Data Engineer.
- Strong expertise in Python and SQL.
- 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.
Required Skills– AWS;Azure DevOps;Jira;Python;SQL
