Azure Data DevOps Lead

4 weeks ago

Raleigh, United States Zortech Solutions Full time
Job DescriptionJob Description

Role: Azure Data DevOps Lead

Location: Raleigh NC (100% onsite from Day 1) Suggest looking for local candidates else okay for relocation candidates.

Duration: 6+ Months

Job Description:

Please share profiles for below role. Make sure candidates are strong in Azure Data Factory, Azure Databricks, Python, Azure DevOps

JD for Onsite Azure Data DevOps Lead profile:

Technical Skills

Expert in Azure Data Factory (ADF), Data Bricks

Strong experience in Azure DevOps, CI/CD

Advance knowledge of Azure SQL DB & Synapse Analytics

Knowledge of Power BI, SSIS is a plus

Expert in T-SQL

Knowledge of Logic Apps

Knowledge of Azure data lake is must

Knowledge of Azure Services like Analysis Service, SQL Databases is a must.

Experience in data modeling and database design with excellent knowledge of SQL Server best practices

Knowledge of data warehousing and business intelligence architecture is must

Understanding of Python / PySpark / Databricks is a plus

Experience working in Agile environment (Scrum, Lean, Kanban)

Domain Skills - Clinical Trials

Good understanding of clinical trial business domain

Data modeling experience in the clinical trial domain

Essential Function

Team Leading skills; Onshore-Offshore coordination.

Work independently with business and technical stakeholders to understand the organization's obstacles, and provide due diligence

Design solutions to meet functional and non-functional requirements

Can review architecture and solution design artifacts

Proactively provide guidance on engineering methodologies, standards and leading practices

Guidance of engineering staff and reviews of as-built configurations during construction phase

Identify, communicate and mitigate Risks, Assumptions, Issues and Decisions throughout full lifecycle

Estimate and outline the recommended solutions

Execute the hands-on implementation of proposed solutions and provide technical guidance to teams during the solutions' development and deployment phases

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