The Data Engineer will design, develop, and maintain Snowflake data solutions, create data pipelines, implement ETL processes, and ensure data quality while collaborating with project leads.
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, Data Engineering
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary: As a Snowflake Sr. Data Engineer, 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. From CoE perspective, you will support delivery teams, and contribute to the execution of POVs and POCs. Roles & Responsibilities: Project Role : Snowflake Sr. Data Engineer Project Role Description : Build scalable, secure, and high-performance Snowflake pipelines in projects. Contributes to CoE initiatives including POCs, accelerators etc. - Build data pipelines, implement ETL/ELT processes, and work with semi-structured and structured data to support analytics and reporting. - Collaborate closely with project leads 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) - Experience in Data Engineering. - Strong communication skills. - Good to have skills : dbt, Fivetran, Python, GenAI Features in Snowflake Additional Information: - The candidate should have a minimum of 15 years of experience in Snowflake Data Warehouse. - This position is PAN India.15 years full time education
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, Data Engineering
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary: As a Snowflake Sr. Data Engineer, 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. From CoE perspective, you will support delivery teams, and contribute to the execution of POVs and POCs. Roles & Responsibilities: Project Role : Snowflake Sr. Data Engineer Project Role Description : Build scalable, secure, and high-performance Snowflake pipelines in projects. Contributes to CoE initiatives including POCs, accelerators etc. - Build data pipelines, implement ETL/ELT processes, and work with semi-structured and structured data to support analytics and reporting. - Collaborate closely with project leads 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) - Experience in Data Engineering. - Strong communication skills. - Good to have skills : dbt, Fivetran, Python, GenAI Features in Snowflake Additional Information: - The candidate should have a minimum of 15 years of experience in Snowflake Data Warehouse. - This position is PAN India.15 years full time education
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Top Skills
Dbt
Fivetran
Python
Snowflake Data Warehouse
SQL
Accenture Mumbai, Maharashtra, IND Office
Ganpatrao Kadam Marg, off Senapati Bapat Marg, Lower Parel West, Lower Parel, Mumbai, Maharashtra, India, 400013
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