Snowflake + Python + SQL Developer

PradeepIT Consulting Services Pvt Ltd; Bengaluru; On-site; INR 800,000 - 1,200,000; Full time

Job summary

A data consulting firm in Bengaluru is seeking a skilled Snowflake + Python + SQL Developer to join their dynamic team. Candidates should have 4-6 years of experience, with a strong background in cloud data platforms, Python programming, and SQL database management. The role involves designing data pipelines and optimizing performance while collaborating with cross-functional teams.

Qualifications

• 4-6 years of hands-on experience with Snowflake, Python, and SQL.
• Strong understanding of SQL databases and data modeling concepts.
• Experience in building scalable data pipelines and ETL processes.

Responsibilities

• Design, implement, and manage data pipelines using Snowflake.
• Develop and optimize complex SQL queries for data extraction and reporting.
• Monitor the performance of Snowflake databases and troubleshoot issues.

Skills

Snowflake

Python

SQL

Tools

DBT (Data Build Tool)

AWS

Azure

GCP

Git

Job description

About the job 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:

• 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.
• 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.