Senior Cloud Data Engineer - Azure Data Pipelines Lead

Engg; United States; Remote; USD 140,000 - 170,000; Full time

Job summary

Nimble Gravity is seeking a Senior Cloud Data Engineer to lead the design, development, and maintenance of cloud-based data solutions for clients. You will design end-to-end data pipelines, optimize data workflows, and ensure the availability and reliability of the cloud data platform.

You will mentor a team of data engineers, collaborate with data architects and stakeholders, and stay current with Azure data services and related big data technologies to deliver scalable insights.

Qualifications

• 5+ years of data engineering experience focused on cloud-based data solutions.
• Strong expertise in Microsoft Azure data services.
• Experience with data modeling, ETL/ELT, and data warehousing concepts.

Responsibilities

• Design end-to-end data pipelines that collect, process, transform, and load data into the cloud environment.
• Collaborate with data architects and stakeholders to ensure scalability, reliability, and performance of data pipelines.
• Develop complex data transformation logic to prepare raw data for analysis and reporting.
• Build and optimize ETL/ELT processes to ensure data quality and integrity.
• Collaborate with client stakeholders to understand data requirements and deliver insights.
• Lead a team of data engineers, providing technical guidance and mentorship.
• Stay current with cloud technologies and data engineering practices.

Skills

5+ years data engineering experience

Azure expertise

Leadership

Problem solving

Education

Bachelor's or Master's degree in Computer Science/Engineering or related field

Tools

Azure Databricks

Azure SQL Database

Azure Synapse Analytics

Python

PySpark

Azure Data Factory

Logic Apps

Kafka

Azure Event Hubs

Azure Storage Gen2

Job description

Nimble Gravity is seeking a Senior Cloud Data Engineer to lead the design, development, and maintenance of cloud-based data solutions for clients. You will design end-to-end data pipelines, optimize data workflows, and ensure the availability and reliability of the cloud data platform.

You will mentor a team of data engineers, collaborate with data architects and stakeholders, and stay current with Azure data services and related big data technologies to deliver scalable insights.