Architecture Role - Big Data Analytics - Azure - Big4 Audit Firm

We are building cloud based data as a service systems that ingest large volumes of data from healthcare industry, model, analyze and derive trends & patterns to aid better decision making. Role offers opportunity to be part of a challenging, fast-paced environment and build ground-up core analytic offerings and shape the technology roadmap in our high-growth, knowledge-driven..

The responsibilities of the role include:

- Understand client's requirements, scope of work and its business viabilities.

- Perform solution option analysis against requirements and recommend final solution.

- Work with stakeholders for regular updates, requirement understanding and design discussions.

- Leading a team of 2-3 members, the person should be able to completely manage end to end work.

- Able to translate functional and technical requirements into detail design.

- Build scalable cloud based solutions for in-house IP and customers using right set of tools and technologies.

- Plan the closure of the solutions and see through the implementation of the solutions

- Good troubleshooting and application performance tuning experience.

- Prepare and produce releases of software components

Requirement

- Technically Hands-on, prior experience in architecting, designing and developing hybrid/private/public cloud applications on Microsoft azure platform using Azure Data Lake Store, Blob Storage, Cosmos DB, Data factory, Azure SQL data warehouse, Event Hub/Stream Analytics, HDInsight and Power BI etc.

- Hands on knowledge in deploying cloud based applications using .Net/C#/Python with source code management systems like GIT and SVN.

- Prior experience with on premise Microsoft technologies such as SQL Server 2016 (SSIS, SSRS, SSAS) and Microsoft APS is a plus.

- Building Data Lake from multiple data sources and develop learning systems and algorithms to analyse for both data in motion and data at rest.

- Experience in automation of migration and resource deployment using ARM templates, PowerShell and custom activities.

- Hands-on experience in Hadoop technologies like Spark, MapReduce, Kafka, Hive, Storm on HDInsight.

- Good knowledge in any SQL database.

- Experience in Agile methodologies, DevOps on Azure using Jenkins are highly desirable.

- Demonstrated work experience in healthcare/ life sciences data analytics projects

Experience & Background

- Bring 10-15 years of software engineering and solution development experience.

- Bachelors/Master's degree in Computer Science, Engineering or a related subject.

- Excellent communication skill.