Join our Technology & Transformation practice to unlock the value within vast amounts of data. We provide strategic guidance and implementation services to help companies manage data from diverse sources, transforming it into actionable insights for informed decision-making. Our expertise spans business intelligence, data management, performance management, and cutting-edge analytics including big data, cloud, cognitive, and machine learning technologies.

We are seeking a skilled Snowflake Consultant to lead the implementation, management, and optimization of robust data warehousing solutions. This role involves designing scalable data architectures, orchestrating data pipelines, and ensuring peak performance of Snowflake environments to precisely meet client objectives.

As a Snowflake Data Consultant, your responsibilities will include: - Designing, deploying, and managing Snowflake resources, encompassing databases, warehouses, and storage integrations. - Developing and optimizing complex SQL queries, stored procedures, and Snowpark functions for superior performance. - Configuring and maintaining data pipelines via ETL/ELT tools, seamlessly ingesting data into Snowflake from various sources. - Enhancing Snowflake performance through effective clustering, partitioning, and resource monitor management. - Implementing and administering data security measures, including Role-Based Access Control (RBAC) and data masking within Snowflake. - Leveraging Snowflake features like Time Travel, Zero-copy Cloning, and Data Sharing to boost operational efficiency. - Supporting project delivery through meticulous planning, execution, and adherence to technical milestones. - Overseeing daily data operations, including proactive troubleshooting of data pipeline failures and performance bottlenecks. - Driving continuous enhancements in data quality and advocating for architectural best practices. - Collaborating effectively with cross-functional teams to guarantee data availability and accuracy for business stakeholders. - Communicating technical progress and data-driven insights clearly to clients and internal teams.

Successful candidates will demonstrate strong analytical, communication, and problem-solving capabilities. The ability to collaborate effectively with data engineers, architects, and business analysts is essential. Flexibility to meet critical project deadlines and provide support for production environments is required.

Qualifications include a B.E./B.Tech. or M.C.A. in Computer Science from a reputable university. A minimum of 3-5 years of experience with Snowflake cloud data warehousing, covering data modeling, pipeline development, and environment management, is crucial. Familiarity with working within ITIL or Agile frameworks is also expected.