Data Engineer

Job Description

Project Role : Data Engineer

Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.

Must have skills : Snowflake Data Warehouse

Good to have skills : Data Engineering, Data Building Tool, Fivetran

Minimum 5 year(s) of experience is required

Educational Qualification : 15 years full time education

Level 9: Snowflake Job Description Project Role : Snowflake Lead Project Role Description : Build scalable, secure, and high-performance Snowflake pipelines in projects. Contributes to CoE initiatives related to creating guidelines, frameworks, and reference architectures to ensure consistency and scalability across projects. Must have skills : Snowflake Data Warehouse Good to have skills : dbt, Fivetran, GenAI Features in Snowflake Overall Experience: 5-7 years Snowflake Experience: Minimum 2 years Certifications: SnowPro Core Certified (must) Educational Qualification : 15 years full time education Summary: As a Snowflake Lead, you will build scalable, secure, and high-performance Snowflake pipelines across multiple projects and teams. Your typical day will involve collaborating with Team Leads to ensure alignment with the design of the architecture. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives. From CoE perspective, you will support delivery teams, and contribute to the execution of POVs and POCs. Roles & Responsibilities: - Build complex data pipelines, implement ETL/ELT processes, and work with semi-structured and structured data to support analytics and reporting. - Collaborate closely with architects, data engineers, and business teams to translate requirements into scalable solutions, ensure data quality, and maintain security best practices. - Experience with Snowflake features- performance tuning, writing advanced SQL queries, and leveraging Snowflake features like Snowpipe, Streams, Tasks, and Stored Procedures. - Stay abreast of evolving Snowflake and GenAI capabilities. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse, SnowPro Core Certification (must) - Proven Expertise in Data Engineering. - Strong communication skills. -- Good to have skills : dbt, Fivetran Additional Information: - The candidate should have a minimum of 15 years of experience in Snowflake Data Warehouse. - This position is PAN India.

Qualification

15 years full time education

Additional Information

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