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About the Company: The company is a is a global leader in IT Engineering and R&D (ER&D) services
Responsibilities:
Oversee the conceptualization design development and evaluation of Healthcare big data analytics solutions.
Contribute to the definition of solution architecture for Master Data Management (MDM) and assist in the establishment of information architecture standards and methodologies.
Define and implement data quality processes as well as performance indicators and metrics for analytical production.
Monitor industry and technological trends in the Healthcare Analytics space and help to evolve platform and solution offerings that can be positioned with customers.
Device strategies for rapidly developing solutions / reusable components to meet customer needs
Be in charge of project scoping planning and estimation as well as team formation and work allocation in order to successfully deliver the program or solution.
Identify opportunities to use AI NLP LLM and other advanced analytics techniques to improve datadriven decision making and process optimization.
Stay up to date on the latest developments in data and AI technologies and assess their applicability to improving informatics solutions in healthcare and life sciences.
Work with data scientists and engineers to build machine learning models and deploy AIpowered applications.
Provide technical leadership and direction to the data analytics team while fostering an environment of innovation and excellence.
Ensure that sensitive healthcare and life sciences data is handled in accordance with data privacy regulations and industry best practices.
Key Competencies
15 years of industry experience in developing Data Analytics solutions with a minimum of 5 years of healthcarespecific experience
Strong communication and presentation skills are required as are skills in leading and mentoring teams in the development of healthcare analytical solutions.
Prior experience implementing data management and analytics solutions utilizing big data technologies such as Hadoop Spark or similar platforms.
Working knowledge of cyber security practices and principles such as encryption access controls and vulnerability management.
Proven expertise in AI & Analytics technologies such as machine learning models natural language processing algorithms and predictive analytics
Technical Competencies:
Expertise in development of Big data Analytics Solution using
Distributed computing Hadoop cluster management HDFS MapReduce
Streamprocessing solutions such as Storm or Spark
Data querying tools such as Pig Impala and Hive data integration
SQL & NoSQL Databases such as MongoDB Cassandra and HBase
Big data toolkits such as H2O SparkML and Mahout and Messaging systems such as Kafka and RabbitMQ
Proficient in Programming with R Python Ruby C Perl Java SAS SPSS.
Exposure & familiarity with ETL tools data APIs data modeling Algorithms and data warehousing solutions
Exposure to Healthcare systems and data exchange mechanisms
Location: Bangalore/Mysore
Remote Work :
No
Full Time