Azure Databricks Engineer

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Company
Crescens, Inc.
Job location
Raleigh, United States
Salary
Undisclosed
Posted
Hosted by
Appcast

Job details

Title: Azure Databricks Engineer
Location: Raleigh, NC
Duration: 12 Months
Notes:

**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.**

Description:
  • 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

Skills:
  • Excellent interpersonal skills as well as written and communication skills.
  • Able to write clean, easy-to-follow Databricks notebook code
  • Deep knowledge of data engineering best practices, data warehouses, data lakes, and the Delta Lake architecture
  • Good knowledge of Spark and Databricks SQL/PySpark
  • Technical experience with Azure Databricks and cloud providers like AWS, Google Cloud, or Azure
  • In-depth knowledge of OLTP and OLAP systems, Apache Spark, and streaming products like Azure Service Bus
  • Good practical experience with Databricks Delta Live Tables
  • Knowledge of object-oriented languages like C#, Java, or Python
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