Azure Databricks Engineer - Hybrid - Raleigh, NC, United States

Title: Azure Databricks Engineer - Hybrid - Raleigh, NC, United States

Location: Raleigh, NC, United States

Length: Long term

Restriction: W2 or C2C

Description:

Interview Type:Webcam Interview Only *** Very long term project initial PO for 1 year, expect to go for 4+ years *** Hybrid*** Locals or relocate

Azure Databricks Engineer who will work with existing staff to plan and design ETL pipelines and product solutions using Azure Databricks.

Job Description:

**The candidate will need to come onsite on the first day to collect equipment.**

**All candidates must be local to the Triangle region of North Carolina, and posting may require up to 1/2 days per month in a Triangle area office for meetings.**

Azure Databricks Engineer who will work with existing staff to plan and design ETL pipelines and product solutions using Azure Databricks. The person filling this role will create resilient processes to ingest data from a variety of onprem and cloud transactional databases and APIs. Responsibilities will also include developing business requirements, facilitating change management documentation, and actively collaborating with stakeholders. This individual will work closely with a development technical lead and discuss all aspects of the design and planning with the development team.

Roles and Responsibilities

Research and engineer repeatable and resilient ETL workflows using Databricks notebooks and Delta Live Tables for both batch and stream processing

Collaborate with business users to develop data products that align with business domain expectations

Work with DBAs to ingest data from cloud and on prem transactional databases

Contribute to the development of the Data Architecture for NC DIT Transportation:

By following practices for keeping sensitive data secure

By streamlining the development of data products for use by data analysts and data scientists

By developing and maintaining documentation for data engineering processes

By ensuring data quality through testing and validatio

By sharing insights and experiences with stakeholders and engineers throughout DIT Transportation

Required Skills

Excellent interpersonal skills as well as written and communication skills. 5 Years

Able to write clean, easy tofollow Databricks notebook code 2 Years

Deep knowledge of data engineering best practices, data warehouses, data lakes, and the Delta Lake architecture 2 Years

Good knowledge of Spark and Databricks SQL/PySpark 2 Years

Technical experience with Azure Databricks and cloud providers like AWS, Google Cloud, or Azure 2 Years

In depth knowledge of OLTP and OLAP systems, Apache Spark, and streaming products like Azure Service Bus 2 Years

Good practical experience with Databricks Delta Live Tables 2 Years

Knowledge of object oriented languages like C#, Java, or Python 7 Years