- Minimum of 5+ years of experience as a Cloud Data Engineer.
- Hands-on experience with Azure Cloud data tools (ADF, SHIR, Logic Apps, ADLS Gen2, Blob Storage) and Snowflake.
- Strong experience in ETL development using SQLServer, SSIS, and T-SQL.
- Experience with Python or other scripting languages for data processing.
- Proficiency in DevOps and CI/CD practices using GitActions.
- Experience with Agile methodologies.
- Excellent problem-solving skills and ability to work independently.
- Strong communication and collaboration skills.
- Solid analytical skills and attention to detail.
- Ability to adapt to new technologies and learn quickly.
- Proven experience in data validation and quality assurance, particularly in data migration projects, using Python and SQL. Experience in standard Unit. Testing and documenting the results.
- Strong attention to detail and ability to identify data inconsistencies.

Total Experience

8 years

Relevant Experience

5+ years

Mandatory skills

Azure Cloud data tools (ADF, SHIR, Logic Apps, ADLS Gen2, Blob Storage) ; Snowflake; SSIS; T-SQL

📌 Sr. Cloud Data Engineer (India)
🏢 Clifyx
📍 India