Required Skills

JSON analytical skills databases

Work Authorization

  • US Citizen

  • Green Card

  • EAD (OPT/CPT/GC/H4)

  • H1B Work Permit

Preferred Employment

  • Corp-Corp

  • W2-Permanent

  • W2-Contract

  • Contract to Hire

Employment Type

  • Consulting/Contract

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 18th Dec 2023

JOB DETAIL

Key Responsibilities:
•            Design, implement, and maintain the data architecture for the organization
•            Collaborate with stakeholders to ensure that the data architecture meets business requirements
•            Develop and implement data modeling techniques for both NoSQL and SQL databases
•            Design and implement data governance policies and procedures
•            Design OLTP systems for efficient data processing and transactions
•            Design OLAP systems for efficient data analysis and reporting
•            Develop and implement data migration strategies
•            Ensure data integrity and security across all databases
•            Develop and maintain data dictionaries, metadata repositories, and data lineage documentation
•            Stay up-to-date with emerging technologies and trends in data architecture
•            Proficiency in data formats such as JSON and XML
•            Proficiency in messaging services such as Kafka, Kinesis, and IBM IIB
•            Experience with API development and integration using tools such as MuleSoft and REST APIs
•            Excellent problem-solving and analytical skills
•            Strong communication and collaboration skills with both technical and non-technical stakeholders.

Qualifications:
•            Bachelor's or Master's degree in Computer Science, Information Systems, or a related field
•            Minimum of 8-10  years of experience in data architecture with a minimum of 3-5 years of experience in healthcare domain
•            Strong hands-on experience with NoSQL databases such as MongoDB and DynamoDB
•            Strong hands-on experience with SQL databases such as Postgres and SingleStore (MEM SQL DB)
•            Experience in designing OLAP and OLTP systems for efficient data analysis and processing
•            Familiarity with cloud-based data storage solutions like Amazon S3 or Google Cloud Storage.

Company Information