Report this job

---

What is the problem? *

Incorrect company
Incorrect location
Job is expired
Job may be a scam
Other

Big Data Engineer - Azure

Location: - 100% Remote

12+ months contract

Job Description:

• As a Senior Software Engineer, the candidate will be responsible for using your technical knowledge to solve business problems.
• The client is looking for a talented individual that can serve as a subject matter expert in their area of focus and represent their department on complex assignments.
• Candidate will be responsible for evaluating elements of technology effectiveness through requirements gathering, testing, research and investigation and make recommendations for improvements that result in increased quality and effectiveness.
• Candidate will be required to listen to and evaluate customer needs to determine and provide high-quality solutions that align with customer expectations.
• In this role on the Cloud Data Engineering team, the candidate will be a part of a team responsible for migrating existing data platform solutions to the cloud.
• Candidate will also collaborate with others to develop new data pipelines.
• As a data engineer in the Cloud Data Engineering team, you must work in a data-first mindset.
• Candidate will use Microsoft Azure Cloud PaaS technologies to engineer our data solutions in a way that allows us to optimize our information, make better decisions, and meet our customer's needs.
• If candidates have a passion for engineering, working with massive amounts of data, and empowering smart business decisions, this is your role.

Required:

• 3 plus years of development experience in one of the following languages: Python and/or Azure SQL.
• Experience with Big Data solutions and no SQL DBMS.
• Experience with Microsoft Azure platform technologies like Databricks applications, Event Hub, Data Factory, Scala, Synapse Analytics, Delta Lake, Cosmos DB, or DevOps.
• Prior experience leading large-scale projects.
• Experience with API development and Agile methodologies.
• 3 Candidate years of data engineering experience working with large datasets and complex data environments, processes, and associated solutions.
• 3 Candidate years of experience writing and tuning complex SQLs, and the ability to analyze and make recommendations on results.
• 3 Candidate years of experience in full lifecycle development and end-to-end testing.
• Must have good troubleshooting and problem-solving skills, including debugging multi-threaded applications.
• Experience with configuration management and build automation capabilities such as Git/Jenkins.
• Bachelor's degree in computer science, Computer Information Systems, Management Information Systems, or related field preferred.