Data Engineer

5 days ago


Any Location, IN Quantumbricks Full time

About the Role :

We are seeking a highly skilled and experienced Snowflake Data Engineer to join our team and play a crucial role in building and maintaining our data pipelines within the Snowflake cloud data warehouse.

You will leverage your in-depth knowledge of Snowflake architecture and strong data engineering skills to design, develop, and optimize efficient data solutions that support critical business needs.

Responsibilities :

- Design, develop, and implement data pipelines for ingesting, transforming, and loading data into Snowflake.

- Utilize Snowflake features (e.g, micro-partitions, clustering, materialized views) to optimize data performance and query execution.

- Write complex and efficient SQL queries, including self-joins, cursors, recursive queries, views, and materialized views, to manipulate and analyze data.

- Demonstrate a strong understanding of data semantics and data modeling principles to ensure data consistency and accuracy.

- Utilize Python scripting for data manipulation, automation tasks, and integration with other systems.

- Apply expertise in Snowflake procedures (Stored Procedures, User Defined Functions) to automate complex data processing tasks.

- Collaborate with data analysts and business stakeholders to understand data requirements and translate them into technical specifications.

- Implement best practices for data governance, security, and access control within Snowflake.

- Monitor and troubleshoot data pipelines to identify and resolve potential issues.

- Stay up-to-date with the latest advancements in Snowflake technology and data engineering best practices.

Qualifications :

- 5+ years of relevant experience as a Data Engineer.

- Proven experience with Snowflake as the primary data warehouse platform (certification preferred).

- Strong understanding of Snowflake architecture, design principles, and best practices.

- Expertise in writing complex and performant SQL queries (including advanced techniques like SCD, self-joins, cursors, etc.

- Experience with SQL performance tuning, particularly for large datasets.

- Solid understanding of data semantics and data modeling concepts.

- Proficiency in Python scripting for data manipulation and automation tasks.

- Experience with Snowflake procedures (Stored Procedures, User Defined Functions) is a plus.

- Familiarity with cloud platforms (AWS or Google Cloud) for data warehousing deployments (a plus).

- Excellent communication and collaboration skills.

- Strong analytical and problem-solving abilities

(ref:hirist.tech)

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