Senior DataOps/Cloud Data Engineer

Role Overview

Design, develop, test, implement, and troubleshoot data pipelines, complex data transformation procedures, and data models for data warehouses and lakehouses.

What You Will Do

Work with various tools such as Databricks, Azure Data Factory, AWS Glue, and Informatica IDMC to extract, transform, and load data.

Why It Might Be a Fit

Must have experience with data engineering, data lakehouse solutions, and AWS Services. Nice-to-have qualifications include working with XLSX, CSV, JSON files, relational databases, cloud storage, structured and unstructured data.

Requirements

• Data engineering (pandas, pyspark)
• Data lakehouse solutions such as Databricks (Delta Lake)
• Experience using AWS Services such as Glue, StepFunctions, Lambda, S3
• Extract/Transform/Load data using tools such as Informatica IDMC

Benefits

• T4 rate range: $68.28/hr – $81.94/hr
• Incorporated rate range: $85.35/hr – $102.42/hr