Senior Snowflake Data Engineer

4 weeks ago

Hyderabad, India algoleap Full time
Algoleap is one of the fastest growing digital engineering services company based out of Hyderabad working with many fortune 1000 customers in transforming their digital landscape.
At Algoleap, we believe that a truly innovative and successful workplace is one where diversity, equity, and inclusion thrive. We are dedicated to building a team that celebrates unique perspectives and experiences, fostering an environment where everyone is empowered to succeed. Algoleap offers compelling full-time roles designed to help you grow and excel. Our positions come with flexible options, including onsite and hybrid roles, allowing our team members to work closely with our clients and make a direct impact on the engagements at the same time offering great work life balance.
About the Role:
Senior Snowflake Data Engineer (8-12 Years)
Location: Hyderabad
Mode: Hybrid
NP: Immediate - 15 days
Hands-on experience on Snowflake datawarehouse and Snowflake Architecture
Must have experience on configuring stages, formats, and using snowpipe integrations
Time Travel and Fail-safe Features, Data Sharing, Collaboration
Clustering and Partitioning, Query Optimization Techniques
External, Hybrid tables and Stages
Data Pipeline, Tables, Views, Stored Procedures & Functions, and Tasks in Snowflake
Must have knowledge of snowflake costing model, Warehouse Optimization and Cost Tracking
Must have knowledge of setting Tags, policies, ABAC & RBAC in snowflake
Must have experience on setting up DR, and replication in snowflake
Ability to read architecture diagrams, data models, and data flows
Experience using Azure DevOps, GitHub, Visual Studio, or equivalent
Emphasis on code quality, integration testing, performance testing and tuning
Good to have experience on azure data factory, data bricks
Good to have experience on Python/pyscript
Data engineering experience in any cloud provided Azure/AWS/GCP. Azure preferred.
Development of technical system and process documentation
Analyzing data to effectively coordinate the installation of new or the modification of existing data
Monitoring data process performance post-deployment until transitioned to operations
Communicating key project data to team members and building cohesion among teams.
Developing and executing project plans.

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