Big Data Analytic – AZURE for a Big 4 Audit Firm in Bangalore - Exp: 10 to 15 years Please contact on email@example.com
at in Media and Advertising
Industry : Media and Advertising
As a Big Data Analytic – AZURE for a Big 4 Audit Firm in Bangalore - Exp: 10 to 15 years Please contact on firstname.lastname@example.org your responsibilities include the following
client is 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 analytics
offerings and shape the technology roadmap in our high-growth,
The responsibilities of the role include:
client’s requirements, scope of work and its business viabilities.
option analysis against requirements and recommend final solution.
stakeholders for regular updates, requirement understanding and design
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.
cloud based solutions for in-house IP and customers using right set of tools
Plan the closure
of the solutions and see through the implementation of the solutions
troubleshooting and application performance tuning experience.
produce releases of software components
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.
with on premise Microsoft technologies such as SQL Server 2016 (SSIS, SSRS,
SSAS) and Microsoft APS is a plus.
from multiple data sources and develop learning systems and algorithms to
analyse for both data in motion and data at rest.
automation of migration and resource deployment using ARM templates, PowerShell
and custom activities.
experience in Hadoop technologies like Spark, MapReduce, Kafka, Hive, Storm on
Good knowledge in
any SQL database.
Agile methodologies, DevOps on Azure using Jenkins are highly desirable.
experience in healthcare/ life sciences data analytics projects
Experience & Background
Bring 10-15 years
of software engineering and solution development experience.
degree in Computer Science, Engineering or a related subject.