Data engineer- ETL, Python

2 weeks ago

Washington, United States Radiant Full time

About Us:

Radiant Digital delivers technology consulting and business solutions for commercial and government clients.

Our flexible delivery model allows us to provide end-to-end solution delivery, single project execution, and, or strategic resources.

CMMI Maturity Level III and ISO 9001 – 2015 certified.

Responsibilities:

Responsibilities:

• Design, develop, and maintain scalable and robust ETL pipelines to extract, transform, and load data from various sources into our data warehouse/Data Lake.

• Collaborate with cross-functional teams to gather data requirements, define data models, and implement data integration solutions.

• Optimize ETL processes for performance, reliability, and scalability, ensuring efficient data processing and timely delivery of insights.

• Implement data quality checks and monitoring mechanisms to ensure data accuracy, completeness, and integrity.

• Troubleshoot and resolve data-related issues, investigate root causes, and implement preventive measures.

Requirements:

• Bachelor’s or master’s degree in computer science, Engineering, or related field.

• 8+ years of experience as a Data Engineer, with a focus on ETL development and data integration.

• Proficiency in programming languages such as Python, SQL, and Scala

• Experience with other cloud providers (e.g., AWS, GCP) and related services.

• Experience working with relational databases (e.g., SQL Server, PostgreSQL, MySQL) and non-relational databases (e.g., MongoDB, CosmosDB).

• Hands-on experience with Azure data services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, or similar.

• Experience working with Azure SQL Database, Azure Blob Storage, Azure Cosmos DB, and other Azure data services.

• Familiarity with data visualization tools (e.g., Power BI) for creating dashboards and reports.

• Experience with CI/CD (Continuous Integration/Continuous Deployment) pipelines for automated software delivery.

• Strong understanding of data warehousing concepts, data modeling, and database design principles.

•Excellent problem-Communication, solving skills, analytical mindset, and attention to detail. #J-18808-Ljbffr

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