Azure Databricks Engineer :: Raleigh, NC (Hybrid)

Ark Solutions Inc is looking for Azure Databricks Engineer!

Position: Azure Databricks Engineer
Location: Raleigh, NC (Hybrid)
Duration: 6+ Months and possibility of extension

Description:
Seeking 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.

Day-to-day 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 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

Skills Required / Desired 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