29 Techfully Jobs

Job Title : Azure Data Engineer

Exp : 5-8 Years.

Location : Remote.

Time : 1 : 30PM 10 : 30PM.

We are seeking to hire Azure Data Analytics with 5+ years of Hands-On Experience in Azure data analytics and Datawarehouse, Azure Data Explorer, Azure Databricks, Azure Data factory, Azure Synapse Analytics and Azure Fabric etc.

Job Description :

- Excellent understanding on data architecture system (source, target, transformations, processing, etc.,) and migration b/w DB platforms.

- Must have strong hands-on experience with Python.

- Strong hands-on experience in creating data pipeline monitors in the Azure environment.

- Perform pre and post data validations checks to ensure completeness of data migrated- .

- Experience building and optimizing data pipelines, architectures and data sets.

- Experience with the deployment datasets within the customers Cloud or On Premise environments.

- Strong analytic skills related to working with unstructured datasets.

- Experience supporting and working with cross-functional teams in a dynamic environment.

- Assist with validating prototyped deployment options across various environments Dev, QA, Test.

- Assist in security hardening and implement role-based security as needed for Customer requirements.

- Write and maintain documentation (e.run books, test plans, test results, etc.) for applications.

- Configure and tune the platform in each environment based on best practices.

- Provide general guidance, best practices, troubleshooting assistance as related to the Data Platform.

- Strong analytical, debugging and problem-solving skills.

- Quick learner, self-motivated and has the ability to work independently.

- Strong verbal, written communication skills and a collaborative problem solving style.

- Systems integration, including design and development of APIs, Adapters, and Connectors.

- Healthcare domain experience is preferred.

Tools & Technology Experience preferred :

- Object-oriented /object function scripting languages : Python.

- Data migration from on premise systems RDBMS to Cloud Datawarehouse .

- Relational SQL and NoSQL databases, including Snowflake and PostgreSQL.

- Data pipeline using Azure stack.

- Azure cloud services : Datafactory, Databricks, SQL Datawarehouse