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Hope you are doing great!

I am reaching out to you on an exciting job opportunity with one of our clients.

H4-EAD Only- | Passport Number is required by vendor.

Need someone with Pharmaceutical/Healthcare Industry experience in current. 

Job Title:                 Azure Data Engineer

Location:                100% Remote

Duration:                6-12 months contract

Interview:               Video Interview

Must Have:

• Azure Data Factory, Azure Data Lake, Azure SQL Data Warehouse, Azure Databricks, Azure Synapse, Spark, Python, Azure Analysis Services, Azure DevOps
• Experience working in ETL process for at least 8 years
• Experience developing ETL process using Azure ETL tools for at least 5 years

Qualifications:

• Bachelor’s degree in information systems, Computer Science, Engineering, or related field
• Proficient in designing and implementing data sourcing and transformation processes (ETL) in a large, distributed environment using cloud services e.g., Azure Data Factory, Azure Data Lake, Azure SQL Data Warehouse, Azure Databricks, Azure Synapse, Spark, Python, Azure Analysis Services and Azure DevOps
• Hands-on experience with developing complex ETL pipelines that ingest and transform data from various source systems into Azure cloud operational databases and data warehouse environment
• Proficient in developing and operationalizing various data distribution patterns such as APIs, event based, publish/subscribe models
• Well versed with data models, source target definitions, identify/fixing discrepancies adhering to enterprise data governance standards
• Adept with Azure DevOps-CI/CD (Continuous Integration and Continuous Deployment) and Test-Driven Development practices
• Design, develop and implement scalable batch /real-time data pipelines to integrate data from a variety of sources into an Azure database / data warehouse and data lake
• Experience migrating data lakes from on-premises to cloud
• Experience with agile delivery using Azure DevOps
• Experience monitoring performance of data workflows and infrastructure through use of monitoring tools and enabling alerts
• Functional knowledge of data visualization tools

Responsibilities

• Design and implement data frameworks and pipelines to process data from on-premises and cloud data sources to feed into the Azure Cloud, monitor data quality and implement related controls
• Evaluate existing designs, improve methods, and implement optimizations
• Analyze and validate data sharing requirements within and outside data partners
• Analyze and interpret collected data; identifying trends; writing reports and recommendations for internal or external clients
• Use statistical practices to analyze current and historical data to make predictions, identify risks, and opportunities enabling better decisions on planned/future events
• Work with business leadership to understand data requirements; propose and develop solutions that enable effective decision-making and drive business objectives
• Prepare project deliverables that are valued by the business and present them in such a manner that they are readily understood by project stakeholders
• Prepare advanced project implementation plans using Agile methodologies, which highlight milestones and deliverables, leveraging standards, practices, and work planning tools
• Recognize potential issues and risks during the analytics project implementation and recommend mitigation strategies
• Document best practices for data analysis, data engineering, and evangelize their usages
• Work with stakeholders, including the executives as well as product engineering teams to assist with data-related technical issues and support their data infrastructure needs
• Create data tools for data scientist team to assist them in building and optimizing our product into an innovative industry leader
• Work with data and analytics experts to strive for greater functionality in our data capabilities
• Experience in offshore/ onsite coordination

Regards,

Utkarsh Kumar | Sr. Technical Recruiter

Email: utkarsh@istaffx.com | LinkedIn

iStaffX LLC | 15 Gamble Avel Wilmington, DE, 19805