
Senior Data Pipeline Specialist
1 week ago
Data Engineers are required to design, develop, and maintain ETL/ELT data pipelines. They must be able to ingest data from various sources into our data warehouse.
This includes databases and flat files. The ideal candidate will have experience with AWS Cloud services, including Lambda, DMS, and Glue.
A solid understanding of data warehousing concepts is essential. This includes practical experience using Snowflake. Data Engineers will develop and optimize Snowflake stored procedures to implement complex business logic and data transformations.
They will also work closely with stakeholders to understand project requirements and translate them into technical solutions.
Responsibilities include managing and monitoring scheduled data workflows using Apache Airflow.
Data Engineers will implement and maintain robust data quality checks to ensure accuracy and reliability of all delivered datasets and reports.
The successful candidate will have strong proficiency in SQL scripting and proficiency in Python for data manipulation and automation.
Key Skills:
- Data Engineer responsibilities
- ETL/ELT data pipelines
- AWS Cloud services
- Snowflake
- Apache Airflow
- SQL scripting
- Python programming
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