Tiger Analytics is a global AI and analytics consulting firm. With data and technology at the core of our solutions, our 2800+ tribe is solving problems that eventually impact the lives of millions globally. Our culture is modeled around expertise and respect with a team-first mindset. Headquartered in Silicon Valley, you’ll find our delivery centers across the globe and offices in multiple cities across India, the US, UK, Canada, and Singapore, including a substantial remote global workforce.

We’re Great Place to Work-Certified™. Working at Tiger Analytics, you’ll be at the heart of an AI revolution. You’ll work with teams that push the boundaries of what is possible and build solutions that energize and inspire.

As a Senior Data Engineer – Snowflake you will work to solve some of the most complex and captivating data management problems that would enable them as a data-driven organization; Seamlessly switch between roles of an Individual Contributor, team member, and Data Engineer as demanded by each project to define, design, and deliver actionable insights.

Typically, you might

· Create a solution utilizing Snowflake's native capabilities and put cloud architectures and data platforms into practice.

· Work as a team to address complex issues; strategic planning; thought leadership; and direction for the Snowflake practice.

· Design and implement effective Analytics solutions and models with Snowflake.

· Examine and identify Datawarehouse structural necessities by evaluating business

requirements.

· Assess Datawarehouse implementation procedures to ensure they comply with

internal and external regulations.

· Create detailed data warehouse design, and architecture reports for management & executive teams and make recommendations for improving new and existing Datawarehouse solutions.

· Educate staff members through training and individual support, and aid by responding quickly to system problems.

· Understand and document data flows in and between different systems/applications and guide developers in preparing functional/technical specs to define reporting requirements and ETL process.

· 7- 10 years of experience designing and implementing a full-scale data warehouse solution by building productionized data ingestion and processing pipelines.

· Adept understanding of Public Cloud architectures and good Snowflake implementation experience in DW/BI/Analytics use cases.

· As a Senior or Lead Developer on Analytics solutions, real-time experience in completing 2 Snowflake projects from start to finish.

· Enjoys providing technical data solutions for all Snowflake business problems and helping with the data migration from on-premises or another cloud database/data warehouse to Snowflake.

· Comprehensive knowledge of the delivery methodology and lead teams in the implementation of the solution according to the design/architecture.

· Profound knowledge of migration, dev/ops, ETL/ELT, and BI is required, and the ability to work in Snowflake design patterns and migration architectures is a major plus.

· Comprehensive knowledge of the Snowflake capabilities such as Snow pipe, STREAMS, and Snowflake architecture and be aware of Snowflake roles and user security.

· Enthuse to work in Implementation in integrating Snowflake with DBT and other modern data stack tools as well as a strong understanding of Python for framework design.

· Loves to take accountability for the individual and team members’ deliverables.

Every individual comes with a different set of skills and qualities so even if you don’t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow.

We are an equal-opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.

Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.