Azure Databricks Engineer
*Local to the Triangle Region of NC only please
*This is a hybrid position with 1-2 days/month onsite
Description:
- The clients’ 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.
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 the clients’ 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
Required Skills/Knowledge/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
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