Data Engineer - Snowflakes

Data Engineer

We are seeking a highly skilled Data Engineer with extensive experience in Snowflake, Data Build Tool (dbt), Snaplogic, SQL Server, PostgreSQL, Azure Data Factory, and other ETL tools. The ideal candidate will have a strong ability to optimize SQL queries and a good working knowledge of Python. A positive attitude and excellent teamwork skills are essential.

Key Responsibilities:

Data Pipeline Development: Design, develop, and maintain scalable data pipelines using Snowflake, DBT, Snaplogic, and ETL tools.

SQL Optimization: Write and optimize complex SQL queries to ensure high performance and efficiency.

Data Integration: Integrate data from various sources, ensuring consistency, accuracy, and reliability.

Database Management: Manage and maintain SQL Server and PostgreSQL databases.

ETL Processes: Develop and manage ETL processes to support data warehousing and analytics.

Collaboration: Work closely with data analysts, data scientists, and business stakeholders to understand data requirements and deliver solutions.

Documentation: Maintain comprehensive documentation of data models, data flows, and ETL processes.

Troubleshooting: Identify and resolve data-related issues and discrepancies.

Python Scripting: Utilize Python for data manipulation, automation, and integration tasks.

Technical Skills:

• Proficiency in Snowflake, DBT, Snaplogic, SQL Server, PostgreSQL, and Azure Data Factory.
• Strong SQL skills with the ability to write and optimize complex queries.
• Knowledge of Python for data manipulation and automation.
• Knowledge of data governance frameworks and best practices
• Soft Skills:
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• Positive attitude and ability to work well in a team environment.
• Certifications: Relevant certifications (e.g., Snowflake, Azure) are a plus.