
Cloud Data Engineering Lead
1 day ago
We are seeking a seasoned expert to lead the migration of our data warehousing and ETL processes from legacy systems to cloud-based platforms. As a senior data engineer, you will design, develop, and implement efficient, scalable, and reliable pipelines within our new Snowflake and dbt environment.
You will optimize existing workflows for performance and cost-efficiency on the Snowflake platform, establish data quality, governance, and security standards, and collaborate with cross-functional teams to translate data requirements into robust technical solutions.
A successful candidate will have hands-on experience with Teradata and Informatica for data warehousing and ETL development, as well as expertise in migrating data platforms from on-premises/legacy systems to cloud environments. Proficiency in SQL and at least one programming language (Python is preferred) is required.
Key Responsibilities- Lead end-to-end migration of data warehousing and ETL processes
- Design, develop, and implement efficient pipelines within the new Snowflake and dbt environment
- Optimize existing workflows for performance and cost-efficiency
- Establish data quality, governance, and security standards
- Collaborate with cross-functional teams to translate data requirements into technical solutions
- 5-10 years of professional experience in data engineering or a related field
- Hands-on experience with Teradata and Informatica for data warehousing and ETL development
- Expert-level proficiency in Snowflake data warehousing and dbt for data transformation
- Exceptional proficiency in SQL and at least one programming language (Python is preferred)
This is an excellent opportunity to leverage your technical expertise and collaborate with talented professionals to drive data-driven success. If you are passionate about data engineering and want to make a meaningful impact, we encourage you to apply.
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