Data Engineer

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
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education

Level 9: Snowflake



Job Description

Project Role : Data Platform Engineer
Project Role Description : Lead the design, development, and optimization of scalable data warehouse and analytics solutions using Snowflake, ensuring high performance, security, and cost efficiency.
Must have skills : Snowflake Data Warehouse
Good to have skills : Data Engineering
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As a Snowflake Data Engineer, you will support the design, development, and maintenance of Snowflake-based data solutions and data pipelines. You will work closely with Data Architects to implement data models, ensure data quality, and contribute to the delivery of scalable and efficient data platforms that support business reporting and analytics needs.



Key Responsibilities:
a Overall 5+ years of data experience including 1+ years on Snowflake and optionally DBT/Fivetran skills
b Play a key role in design related discussions with teams and clients to understand business problems and solutioning requirements
c As a Snowflake SME liaise with clients on business/ technology/ data transformation programs orchestrate the implementation of planned initiatives and realization of business outcomes
d Spearhead team to translate business goals/ challenges into practical data transformation and technology roadmaps and data architecture designs
e Strong experience in designing, architecting and managing(admin) Snowflake solutions and deploying data analytics solutions in Snowflake.
f Strong inclination for practice building that includes spearheading thought leadership discussions, managing team activities.

Technical Experience:
a Strong Experience working as a Snowflake with optional dbt/Fivetran knowledge

b Ability to architect solutions from OnPrem to cloud and create end to end data pipelines
c Excellent process knowledge in one or more of the following areas: Finance, Healthcare, Customer Experience
d Experience in working on Estimation, POCs, POVs on new Snowflake features
i Knowledge of Snowflake Cortex AI features
j Stay current with advancements in Snowflake, LLMs, and Generative / Agentic AI frameworks to continuously enhance solution capabilities.
k Should have good understanding of SQL, Python. Also, the architectural concepts of Snowflake should be clear.

Professional Attributes:
a Client management, stakeholder management, collaboration, interpersonal and relationship building skills
b Ability to create innovative solutions for key business challenges
c Eagerness to learn and develop self on an ongoing basis

Educational Qualification:
a A 15 years full time education is required.
b Snowpro Core Certified

15 years full time education