Remote
1-2 days in a month the candidate should visit the office - any location of client (The location would be Chennai, Pune, Noida, Gurgaon, Indore, Bangalore or Hyderabad)
Shift Timings - 11am to 8 : 30 pm
Budget - 70K
Position Overview :
We are seeking a highly skilled and experienced Senior Cloud Data Engineer to join our team for a Cloud Data Modernization project. The successful candidate will be responsible for migrating our on-premises Enterprise Data Warehouse (SQLServer) to a modern cloud-based data platform utilizing Azure Cloud data tools and Snowflake.
Key Responsibilities :
- Lead the migration of the ETLs from on-premises SQLServer based data warehouse to Azure Cloud and Snowflake.
- Design, develop, and implement data platform solutions using Azure Data Factory (ADF), Logic Apps, Azure Data Lake Storage Gen2 (ADLS Gen2), Blob Storage, and Snowflake.
- Review and analyze existing on-premises ETL processes developed in SSIS and T-SQL.
- Implement DevOps practices and CI / CD pipelines using GitActions.
- Collaborate with cross-functional teams to ensure seamless integration and data flow.
- Optimize and troubleshoot data pipelines and workflows.
- Ensure data security and compliance with industry standards..
Required Qualifications :
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 on-premises databases and ETL technologiesExperience 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.Strong analytical skills and attention to detail.Ability to adapt to new technologies and learn quickly.