Snowflake + Python + SQL Developer

Pradeepit Global Consulting Private Limited; Bengaluru; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Pradeepit Global Consulting Private Limited in Bengaluru seeks a Snowflake + Python + SQL Developer with 4-6 years of experience to design and optimize data pipelines on Snowflake, write complex SQL, and manage ETL/ELT processes using Python.

Experience with DBT is a plus. The role involves collaboration with data analysts and data scientists to deliver scalable data solutions and ensure data quality.

Qualifications

• 4-6 years of hands-on experience with Snowflake, Python, and SQL.
• Strong understanding of SQL databases, RDBMS, and data modeling concepts.
• Experience in building scalable data pipelines and ETL/ELT processes using Python and Snowflake.
• Knowledge of data warehousing best practices, including performance optimization and data governance.

Responsibilities

• Design, implement, and manage data pipelines using Snowflake.
• Develop and optimize complex SQL queries for data extraction, transformation, and reporting.
• Handle large-scale data processing and integration using Python.
• Develop and maintain Snowflake data models and warehouse architecture.

Skills

Snowflake

Python

SQL

ETL/ELT

Data modeling

Data governance

Tools

DBT

Git

AWS/Azure/GCP

Job description

Snowflake + Python + SQL Developer Job Description:

We are seeking a skilled Snowflake + Python + SQL Developer with 4-6 years of experience to join our dynamic team. The ideal candidate should possess a strong background in cloud data platforms, Python programming, and SQL database management. Experience with DBT (Data Build Tool) is a plus but not mandatory.

Key Responsibilities

• Data Engineering & Management : Design, implement, and manage data pipelines using Snowflake .
• Develop and optimize complex SQL queries for data extraction, transformation, and reporting.
• Handle large-scale data processing and integration using Python .
• Data Modeling & Optimization : Develop and maintain Snowflake data models and warehouse architecture.
• Optimize data pipelines for performance and scalability.
• Collaboration : Work closely with cross-functional teams including data analysts, data scientists, and stakeholders to understand data needs and provide efficient solutions.
• ETL Development : Develop and maintain ETL/ELT processes to support data analytics and reporting.
• Use Python scripts and Snowflake tools for data transformation and integration.
• Performance Monitoring & Troubleshooting : Monitor the performance of Snowflake databases, troubleshoot issues, and ensure data integrity.
• Implement monitoring tools and processes to ensure the reliability of data systems.
• DBT (Optional but Good to Have) : Leverage DBT for transforming data within Snowflake, if applicable.
• Develop and maintain DBT models for improving the quality of data transformations.

Key Skills and Qualifications

• Must-Have: 4-6 years of hands‑on experience with Snowflake , Python , and SQL .
• Strong understanding of SQL databases , relational database management systems (RDBMS), and data modeling concepts.
• Experience in building scalable data pipelines and ETL/ELT processes using Python and Snowflake.
• Knowledge of data warehousing best practices, including performance optimization and data governance.

Good to Have

• Experience with DBT (Data Build Tool) or similar data transformation frameworks.
• Familiarity with cloud platforms such as AWS , Azure , or GCP .
• Understanding of version control systems such as Git .

Experience Level

Senior Level