Technical Specialist

Job Description
NCDIT-Transportation Web Systems Team seeks an Azure Databricks Engineer who will work with existing staff to plan and design ETL pipelines and product solutions using Azure Databricks.

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.

NCDIT-Transportation Web Systems Team seeks an 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 on-prem 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 validation

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

Skill

Required / Desired

Amount

of Experience

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

Able to write clean, easy-to-follow Databricks notebook code
Required
2
Years

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

Good knowledge of Spark and Databricks SQL/PySpark
Required
2
Years

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

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

Good practical experience with Databricks Delta Live Tables
Required
2
Years

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

Requirements