Job Description :

Roles and Responsibilities :

- Design, develop, and maintain large-scale data pipelines using Snowflake SQL, ETL processes, and Snowpipe.

- Develop complex data models and schemas to support business intelligence reporting needs.

- Collaborate with cross-functional teams to identify requirements for new data warehousing solutions.

- Implement efficient data processing workflows using Snowflake's high-performance computing capabilities.

- Troubleshoot issues related to data quality, performance, and security in the Snowflake environment.

Education :

- UG : Any Graduate

Required Skillset :

- Demonstrated expertise in designing and managing data warehouses within Snowflake, including proficiency in Snowpipe, Streams, Tasks, and Time Travel features.

- Advanced proficiency in SQL and Python, with a proven ability to write clean, efficient code for complex data transformation and orchestration tasks.

- Strong hands-on experience with cloud platforms such as AWS, Azure, or GCP, and a deep understanding of ETL/ELT methodologies.

- Exceptional communication skills with the ability to articulate complex technical concepts to non-technical stakeholders and work effectively in a collaborative, global team environment.

- Proven ability to adapt to a hybrid work model, maintaining high productivity and proactive communication while working with distributed teams across Pune, Gurgaon, or Bangalore.

- A Bachelor's or Master's degree in Computer Science, Information Technology, or a related quantitative field, reflecting a strong foundation in data engineering principles.

- A track record of delivering high-quality data solutions within a 3 to 7-year professional career span, demonstrating growth and technical maturity.

Key Skills :

- Snowflake, ETL Pipelines, Data Engineering, Snowsql, Snowflake Modeling, Snowpipe, ELT, SQL, Snowflake SQL, Data Pipeline, Snowflake Procedures, Snowflake Schema, ETL Process, Snowflake DB, Data Warehousing, Data Modeling, ETL.