Snowflake Developer - Hyderabad, India - Career Soft Solutions Pvt. Ltd.

Description

Skillset: Snowflake

Experience: Years

Job Location: Hyderabad/Chennai/Bangalore/Bhubaneswar/Gurgoan/Pune

Job Description:

• Hands-on experience with Snowflake DB
• Ability to handle all DML , DDL , Procedure creation , performance tuning etc is expected.
• Proficient in performing root cause analysis of existing models and proposing a solution
• Identify opportunities to improve, speed up and innovate the data models
• Ability to build data processes, pipelines, workflows, dependencies, data structures and data transformations
• Familiar with Snowflake architecture and warehouse implementation and management
• Working experience of cloud computing architecture
• Experience in working with ETL tools
• Working experience with Unix or Python scripting language.
• Should be able to write data processing script , connect to source db , join multiple tables and handle data in Python.
• Should be familiar with all data processing libraries.
• Understanding of Deployment process , GIT Tool is expected.
• Strong English communication skills.
• Strong analytical and interpersonal skills
• Ability to prioritize and work on your own

Roles and Responsibilities

• Developing and maintaining data architecture and data models
• Create standardized procedures for data flows using python scripting
• Conduct efficient data integration with other third-party tools and Snowflake
• Create and maintain the documentation of the architecture, data models and maintenance activities
• Review and audit existing data models and solutions and propose better processes
• Perform tuning, testing and problem analysis
• Identify, design, implement and deploy new Snowflake based data architecture
• Automate manual processes and optimize the data flows
• Collaborate with the data science experts, BI developers and analysts to create custom data models and integrations with Snowflake
• Maintain optimal data pipeline with ETL tools
• Resolve production issues to ensure seamless data processing

Regards,

Vignesh