Overview :
We are seeking a skilled and results-driven Data Engineer with 5–7 years of experience to design, build, and maintain scalable data pipelines and analytics solutions. The ideal candidate will have hands-on expertise in AWS (including Redshift and Glue), Azure SQL Server, and data ingestion frameworks, along with strong SQL skills and experience with BI tools like Domo.
Key Responsibilities:
- Design, develop, and optimize scalable data ingestion pipelines using AWS Glue and related AWS services.
- Build and manage data warehouses and data lakes on AWS Redshift, ensuring efficient storage and retrieval.
- Integrate data from various sources into Azure SQL Server and cloud environments.
- Write complex, efficient SQL queries for data extraction, transformation, and reporting.
- Collaborate with analysts and business stakeholders to deliver data solutions through Domo dashboards and reports.
- Ensure data quality, consistency, and governance across platforms.
- Monitor pipeline performance and troubleshoot issues to ensure reliability and scalability.
Required Qualifications:
- 5–7 years of professional experience in Data Engineering or related roles.
- Strong hands-on experience with AWS services, particularly Redshift and Glue.
- Proficient in Azure SQL Server and advanced SQL querying techniques.
- Experience with end-to-end data ingestion, ETL/ELT development, and orchestration.
- Familiarity with BI tools, especially Domo, for dashboard development and data visualization.
- Ability to work independently and collaboratively in a fast-paced, cloud-native environment.