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Snowflake Developer with Python and SQL Expertise

1 month ago

Bengaluru, Karnataka, India PradeepIT Consulting Services Pvt Ltd Full time
Job Opportunity:

We are seeking a highly skilled Snowflake developer with expertise in Python and SQL to join our team at PradeepIT Consulting Services Pvt Ltd. The ideal candidate will possess a strong background in cloud data platforms, Python programming, and SQL database management.

Key Responsibilities:
  1. 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.
  2. Data Modeling & Optimization:
    • Develop and maintain Snowflake data models and warehouse architecture.
    • Optimize data pipelines for performance and scalability.
  3. Collaboration:
    • Work closely with cross-functional teams including data analysts, data scientists, and stakeholders to understand data needs and provide efficient solutions.
  4. 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.
  5. 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.
  6. 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.
Requirements:
  1. 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.
  2. 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.