Snowflake Data Engineer

6 days ago

Bengaluru India SWITS DIGITAL Private Limited Full time

Job Description Job Title: Snowflake Data Engineer Location: PAN India Experience: 79 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 Snowflake's 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.

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