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Snowflake Data Engineer
Snowflake Data EngineerSMARTWORK IT SERVICES • Bangalore
Snowflake Data Engineer

Snowflake Data Engineer

SMARTWORK IT SERVICES • Bangalore
30+ days ago
Job description

Description :

Job Title : Snowflake Data Engineer.

Location : PAN India.

Experience : 7-9 years.

Key Responsibilities :

  • Data Solution Design : Create and implement data warehouses, data lakes, and robust data models on the Snowflake platform.
  • ETL / ELT Pipeline Development : Design, develop, and optimize pipelines for extracting, transforming, and loading data from diverse sources.
  • Performance Tuning & Optimization : Utilize Snowflake features such as micro-partitions, clustering, and virtual warehouses to enhance scalability and performance.
  • Data Modeling : Design and maintain efficient data models and stored procedures to support reporting and analytics.
  • SQL Expertise : Write complex, optimized SQL queries for data transformation, manipulation, and analytics.
  • Data Security & Governance : Implement and manage security measures including Role-Based Access Control (RBAC) and encryption to maintain compliance.
  • Semi-structured Data Handling : Work with JSON, XML, and Parquet using Snowflakes VARIANT attribute for flexible data storage.
  • Migration : Develop strategies and execute migrations from on-premises databases or other platforms to Snowflake.
  • Collaboration & Mentorship : Work with data engineers, analysts, and business stakeholders to translate requirements into technical solutions. Provide guidance and mentor junior developers to foster best practices and team development.
  • Documentation : Maintain technical specifications, deployment procedures, and knowledge sharing materials for the team.

Required Skills & Tools :

  • Snowflake Platform : Expert in Snowflake architecture, features, and functionalities.
  • SQL : Advanced proficiency in writing complex and optimized queries.
  • Data Modeling : Strong understanding of data warehousing, star schema, and dimensional modeling.
  • ETL / ELT Tools : Experience with dbt, Snowpark, PySpark, or AWS Glue for pipeline automation.
  • Programming : Proficiency in Python for data processing and automation.
  • Cloud Platforms : Familiarity with AWS or other cloud services for scalable solutions.
  • BI Tools : Tableau, Power BI, or similar tools for analytics and visualization.
  • Version Control : Experience with Git or other version control systems.
  • Primary Skills :

  • Liaise and communicate effectively with senior technical stakeholders.
  • Perform analysis and data modeling required in Snowflake.
  • Estimate implementation efforts and define technical plans.
  • Lead and manage the implementation team (Data Engineers and Qlik report developers) on a day-to-day basis.
  • Ensure deliverables meet quality, performance, and scalability standards.
  • (ref : hirist.tech)

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