Snowflake Data Engineer - Python/SQL/ETL
Description
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.