Build scalable Snowflake data pipelines and ETL/ELT processes across projects. Ensure data quality, security, performance, and support structured and semi-structured data for analytics. Collaborate with architects, engineers, business teams, and Team Leads to translate requirements into solutions. Contribute to CoE guidelines, frameworks, reference architectures, proof-of-concepts, and GenAI initiatives using Snowflake Cortex capabilities.
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 Build Tool, Fivetran, Gen AI
Minimum 5 year(s) of experience is required
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 including GenAI.
Roles & Responsibilities:
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.
- 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.
- Contribute to GenAI initiatives led by the CoE.
Professional & Technical Skills:
-Must have skills : Snowflake Data Warehouse with knowledge of GenAI Features in Snowflake
-Good to have skills : dbt, Fivetran, Python
-Must To Have Skills: Proficiency in Snowflake Data Warehouse, SnowPro Core Certification (must)
- Proven Expertise in Data Engineering including GenAI, including Cortex LLM functions, basic understanding on Cortex Analyst, Cortex Search, and Cortex Agents.
- Strong communication skills.
Additional Information:
- The candidate should have a minimum of 15 years of experience in Snowflake Data Warehouse.
- This position is PAN India.
Overall Experience: 5-7 years
Snowflake Experience: Minimum 2 years15 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
Good to have skills : Data Engineering, Data Build Tool, Fivetran, Gen AI
Minimum 5 year(s) of experience is required
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 including GenAI.
Roles & Responsibilities:
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.
- 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.
- Contribute to GenAI initiatives led by the CoE.
Professional & Technical Skills:
-Must have skills : Snowflake Data Warehouse with knowledge of GenAI Features in Snowflake
-Good to have skills : dbt, Fivetran, Python
-Must To Have Skills: Proficiency in Snowflake Data Warehouse, SnowPro Core Certification (must)
- Proven Expertise in Data Engineering including GenAI, including Cortex LLM functions, basic understanding on Cortex Analyst, Cortex Search, and Cortex Agents.
- Strong communication skills.
Additional Information:
- The candidate should have a minimum of 15 years of experience in Snowflake Data Warehouse.
- This position is PAN India.
Overall Experience: 5-7 years
Snowflake Experience: Minimum 2 years15 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.
Accenture Mahārāshtra, IND Office
India
Accenture Pune, Mahārāshtra, IND Office
Building B-1, Magarpatta City (SEZ, Mundhwa Rd, Magarpatta, Hadapsar, Pune, Maharashtra, India, 411013
Similar Jobs
Information Technology
Design, develop, and maintain scalable Azure Databricks data solutions, including Lakehouse pipelines, ETL/ELT, streaming, Delta Lake optimization, governance, and CI/CD. Ensure data quality, troubleshoot integrations, optimize workflows, and deliver datasets for BI, machine learning, and GenAI. Lead technical decisions, coordinate cross-functional initiatives, manage team execution, and mentor junior engineers.
Top Skills:
Azure Data FactoryAzure Data Lake StorageAzure Synapse AnalyticsCdcCi/CdDatabricks WorkflowsDelta LakeDelta Live TablesFeature StoreMicrosoft Azure DatabricksMlflowPower BIPysparkRagSQLStreamingTerraformUnity CatalogVector Search
Information Technology
Design, develop, and maintain data solutions, pipelines, data models, and ETL processes. Ensure data quality, reliability, and efficient data migration across systems. Collaborate with multiple teams, provide technical solutions, make team decisions, and serve as a subject matter expert. Monitor and troubleshoot pipeline performance while supporting analytical and operational data needs.
Top Skills:
Cloud Data MigrationData EngineeringData GovernanceData IntegrationData ModelingData Quality FrameworksData WarehousingETL
Information Technology
Design, build, and maintain end-to-end data solutions, pipelines, and ETL/ELT processes using Azure Databricks and related cloud technologies. Ensure data quality, integration, governance, and accessibility across systems. Serve as a data engineering subject matter expert, mentor junior engineers, collaborate with technical and business stakeholders, support change and incident management, and drive data foundation initiatives and implementation efficiency.
Top Skills:
Amazon KinesisAmazon RedshiftApache AirflowAWSAws GlueAzure Data FactoryAzure DevopsAzure Stream AnalyticsAzure SynapseData IngestionData IntegrationData ManipulationData ModelingEltGithub ActionsMicrosoft Azure DatabricksPythonSAPScalaSql Database
What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
