Data Architect-Health Care

3 weeks ago


Bengaluru, India Saaki Argus & Averil Consulting Full time
About the Company: The company is a is a global leader in IT Engineering and R&D (ER&D) services

Role: Data Architect – Healthcare

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 data-driven 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 AI-powered 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 healthcare-specific 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· Stream-processing 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


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