Job Description

Job Description
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

Primary Skill - Snowflake Airflow DBT SQL server and PostgreSQL

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

Qualifications / Technical Skills

• Experience Minimum of 8 years of experience in data engineering
• 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 eg Snowflake Azure are a plus

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