JOB OPENINGS

---

Largest radiology network is seeking strong data engineers to be part of their data product development team.  This role  requires that the engineer can achieve the following: 

• Proficient and extensive SQL, PL/SQL skills
• Deep understanding of normalized and/or MDM data models
• Experience with MDM models preferred
• Experience configuring and development in MDM tools preferred
• ETL tool experience, ADF preferred
• Azure and SQL Server RDBMS experience
• Able to perform root cause analysis
• Able to work on multiple projects and prioritize accordingly
• Data quality experience
• Power BI experience is a plus
• Exceptional critical thinking, analytical, conceptual, and problem-solving skills
• Self-starter; works well in teams and independently on tasks
• Azure DevOps experience preferred
• ERStudio experience preferred
• Healthcare/Radiology background preferred
• Knowledge of State and Federal, including HIPAA, laws and regulations pertaining to confidentiality of protected health information

Largest radiology network is seeking strong data engineers to be part of their data product development team. It consists of data engineers who can assist to translate business requirements into data products. create efficient data pipelines with reusability, work with product owners and stakeholders to design, develop, and implement data supply chains in enterprise data warehouse environment using Microsoft Azure, ADF, Python, Pyspark, Spark SQL and Databricks environment. 

This role  requires that the engineer can achieve the following: 

• Ensure data quality, reliability of data, orchestration of data pipelines, CI/CD implementation, performance and optimization of data pipelines to ensure efficiency, while collaborating with cross-functional teams to integrate data sources and optimize data pipelines.  

• Also,  this engineer must  provide technical expertise and support for Azure Databricks-related projects.

• Follow technical best practices and coding standards, job orchestration & monitoring, and produce the mandatory artifacts.

Requirements:

Bachelor's degree in computer science, information technology, or a related field.

Prior experience with data lakes and data warehouses, working knowledge with dimensional modeling is must.

Demonstrate advanced understanding in data engineering practices, Including ETL/ELT, data integrations, reusable data pipelines, data management methods.

Advanced Pyspark, Python, Spark SQL, Dimensional models, optimization in Azure, data bricks skills required.

Ability to service various business stakeholders, internal and external partners to support data demands.

Health care experience is desired with a data-centric motive is a plus.

6+ years of experience in data engineering with Azure data bricks ecosystem.

Strong knowledge of Azure data services, including ADF, Databricks, Delta Lake, delta live tables, Power BI, and Azure SQL Server

Experience with data processing languages such as SQL, Python, Pyspark and Spark SQL

Experience with agile methodologies on Azure DevOps and continuous integration/continuous delivery (CI/CD)

Strong problem-solving and analytical skills; excellent communication and collaboration skills

Self-motivated and a self-starter with strong ability to multitask projects/tasks effectively.

Ability to work independently and collaborate effectively in a team environment.

Applicants must have a United States Visa.

Largest radiology network is seeking strong business analyst to be part of data product development team who can partner with various business stakeholders and analytics teams translating complex business problems into technical specifications to produce data products.  This  Business Analyst must work with product owners and stakeholders to support the implementation of enterprise data warehouse,  acting as the primary liaison between business owners and group of data engineers. 

The Business Analyst will complete tasks and activities as assigned by the Project Lead/Manager, and in accordance with agile methodology. Collaborate with cross-functional teams to integrate data sources and help build and optimize data pipelines. Perform data analysis and troubleshooting to ensure data accuracy and reliability.

Requirements:

Bachelor's degree in computer science, information technology, or a related field

Strong understanding of data lakes, dimensional models, analytical practices and principles

Experience with data warehousing, writing advanced SQL Queries, and hands-on experience in database structures

Ability to engage successfully with functional and project teams at all levels to support increasing data demands

Ability to work independently and collaborate effectively in a team environment with excellent documentation skills

Good data analysis skills performing required analysis to identify data anomalies during the requirements capturing

Proficient with data wrangling and analyzing large datasets in structured and unstructured formats

Understanding of various data integration methods, address risks and resolve issues

Must be able to write test scenarios, test cases & support client testing, provide defect resolution methods and ensures application go-live

Excellent coordination with cross functional teams, organizational and time management skills are needed

Self-motivated and a self-starter with strong ability to multitask projects/tasks effectively

Health care experience is desired with a data-centric motive is a plus

Experience with agile methodologies on Azure DevOps and understanding of continuous integration/continuous delivery (CI/CD)

Strong problem-solving and analytical skills; excellent communication and collaboration skills

Advanced knowledge of SQL,MS Excel, Word, Visio and Power Point 

Ability to think customer centric principles, and manage/prioritize multiple projects

Microsoft Azure and Databricks environment experience is a plus