Snowflake, Python, Airflow, SQL

We are seeking a Data Engineer with strong hands-on experience in Snowflake, Python, Airflow, and SQL. The ideal candidate will be proficient in data solution design and development, adept at requirement gathering, and possess strong analytical and problem-solving skills. This role involves building and maintaining robust data pipelines, ensuring efficient data flow and accessibility for business intelligence and analytics.

Key Responsibilities

• Data Pipeline Development: Design, develop, and maintain scalable and efficient data pipelines using Snowflake, Python, and Airflow.
• SQL Development: Write complex and optimized SQL queries for data extraction, transformation, and loading (ETL) within Snowflake.
• Snowflake Expertise: Leverage in-depth knowledge of Snowflake features for data warehousing, performance tuning, and schema design.
• Python Scripting: Develop robust Python scripts for data manipulation, automation, and integration tasks.
• Airflow Orchestration: Implement and manage workflows using Apache Airflow for scheduling and orchestrating data pipelines.
• Requirement Gathering: Proactively gather requirements from stakeholders, translating business needs into technical data solutions.
• Design & Development: Contribute to the design and development of data architectures and data models.
• Troubleshooting & Optimization: Utilize strong analytical and problem-solving skills to troubleshoot data-related issues and optimize pipeline performance.

Required Skills and Experience

• Strong hands-on experience in Snowflake.
• Proficiency in Python for data engineering tasks.
• Experience with Apache Airflow for workflow orchestration.
• Expertise in SQL for data querying and manipulation.
• Proficiency in data solution design and development.
• Demonstrated ability in requirement gathering.
• Strong analytical and problem-solving skills.

Mandatory Skills

• Snowflake
• Python
• Airflow
• SQL