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
Azure Data Engineer • Sangli, Maharashtra, India