Data Engineer for Scalable Data Pipelines
3 days ago
We are seeking a highly skilled Data Engineer to design, develop and maintain scalable data pipelines using Snowflake, dbt, Snaplogic and ETL tools. With a strong ability to optimize SQL queries and a good working knowledge of Python, you will be an integral part of our team.
About the RoleThis is a key role within our organization, requiring a highly experienced individual with a solid understanding of data engineering concepts and technologies. As a Data Engineer, you will work closely with data analysts, data scientists and business stakeholders to understand data requirements and deliver solutions.
The ideal candidate will have a minimum of 9 years of experience in data engineering and possess technical skills including proficiency in Snowflake, dbt, Snaplogic, SQL Server, PostgreSQL and Azure Data Factory. Additionally, they should have strong SQL skills, knowledge of Python for data manipulation and automation, and knowledge of data governance frameworks and best practices.
Key Responsibilities- Design, develop and maintain scalable data pipelines using Snowflake, dbt, Snaplogic and ETL tools.
- Write and optimize complex SQL queries to ensure high performance and efficiency.
- Integrate data from various sources, ensuring consistency, accuracy and reliability.
- Manage and maintain SQL Server and PostgreSQL databases.
- Develop and manage ETL processes to support data warehousing and analytics.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions.
- Minimum of 9 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.
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