Key Responsibilities :
- Design, develop, and maintain scalable data pipelines using Azure Data Factory (ADF) .
- Implement and optimize Snowflake Data Lake solutions for large-scale data processing.
- Build and manage data warehousing solutions leveraging Snowflake and Azure cloud services.
- Collaborate with cross-functional teams to gather requirements and deliver data solutions.
- Ensure data quality, integrity, and security across all pipelines and storage layers.
- Participate in Agile ceremonies and contribute to sprint planning and retrospectives.
Mandatory Skills :
Snowflake : Strong hands-on experience with Snowflake architecture, data lake implementation, and performance tuning.Azure Data Factory (ADF) : Proven expertise in building and orchestrating ETL workflows.Data Warehousing : Solid understanding of data modeling and warehousing concepts using Snowflake & Azure.Preferred / Additional Skills :
Experience with other ETL tools such as AWS Glue , Qlik Replicate , or DBT .Familiarity with Agile project methodologies.Strong communication and stakeholder management skills.Notice Period : Immediate to 60 Days
Experience-5 to 12 years
Location-Pan India
If you are interested kindly share your resumes to vidhiya.v@ltimindtree.com