Are you an experienced data engineer particularly strong with building high throughput data pipelines, Vectr, and Cribl? We need someone we can consider a lead data engineer for a long contract supporting a large data engineering initiative for a major enterprise (ex T Mobile environment is a plus).

📝 Job Description (Longest Possible with SEO Detailing)

We need a lead data engineer with working knowledge of Vectr, Cribl, Azure Data Factory (ADF) and Databricks (PySpark) to construct and/or optimize the delivery of robust data analytics pipelines in a high traffic enterprise environment.

The ideal candidate will have prior cumulative experience working with T-Mobile data ecosystems and/or in large environments within the telecom industry.

Your responsibilities

will include managing and overseeing data engineering projects from inception to completion, designing and implementing sophisticated frameworks for data integration, and constructing and maintaining cloud-based ETL and ELT Processes. To facilitate data movement, maintain data integrity, and provide quality data throughout the company, you will partner with various departments.

Key Responsibilities

Build and maintain data pipelines using Azure Data Factory and Data bricks.

* Design and implement workflows for data ingestion, orchestration, and transformation.

* Use Cribl and Vectr for data engineering observability and routing