Description

You will design and maintain data and analytics solutions for applications and products across multiple projects.

Responsibilities

• Create and maintain data and analytics solutions, ensuring designs align with enterprise architecture.
• Perform POCs to establish standard solution patterns for use across multiple products.
• Translate business requirements into technology solutions using AWS services and open source tools.
• Establish enterprise-level guidelines for data security, Master Data Management, and Reference Data Management.
• Partner with engineering, product, and operations teams to build scalable, feasible solutions.

Required Skills

• Minimum 8 years of experience in data, analytics, AI/ML, BI, or data warehouse products.
• Minimum 5 years of experience as a Solution or Data Architect on cloud platforms, specifically AWS.
• Minimum 5 years of experience in database architecture using relational SQL (Oracle, PostgreSQL, MySQL) and NoSQL (DynamoDB, MongoDB, Elasticsearch).
• Minimum 4 years of experience with ETL/ELT design and development using Talend, Informatica, AWS Glue, or ODI.
• Minimum 4 years of experience programming in Node.js, Python, Java, or Scala.
• Minimum 4 years of experience solutioning in AWS environments for large-scale data storage and processing.
• Minimum 3 years of experience building serverless applications on AWS using Athena, Glue, EC2, Lambda, and Kinesis.
• Minimum 2 years of experience with large-scale data processing via Spark, EMR, or HPC computing.
• Minimum 2 years of experience using Vizio, Draw.io, or Miro for solution design.

Preferred Skills

• AWS Solution Architect certification (Associate level or above).
• Experience with DevOps, CI/CD technologies, and healthcare domain knowledge.

Key Skills

Education

Any Graduate