Minimum 8 years of experience in data, analytics, AI/ML, insights, business intelligence, data warehouse products, platforms and applications.
Minimum 5 years of experience in working as Solution/Data Architect on cloud platforms (AWS is highly desirable).
Minimum 4 years of experience with ETL/ELT design and development using tools like Talend, Informatica, AWS Glue, Oracle Data Integrator (ODI) or equivalent.
Minimum 5 years of experience in database architecture using relational SQL (e.g. Oracle, PostgreSQL, MySQL), and NoSQL (DynamoDB, MongoDB, Elasticsearch).
Minimum 4 years of experience with programming languages such as Node.js, Python, Java or Scala.
Minimum 3 years of experience with building applicating with serverless architecture on AWS platforms using Athena, Glue, EC2, Lamda, Kenesis etc..
Minimum 2 years of experience with large-scale data processing platforms such as Spark, EMR, and/or HPC computing experience with e.g. Apache Aurora, Slurm.
Minimum 4 years of solutioning experience in AWS Cloud environment leveraging multiple services for storage, processing, analyzing large volume of data.
Strong database architecture, critical thinking, and problem-solving abilities, along with an ability to handle ambiguous and evolving requirements.
Minimum 2 years of experience with building solutions using tools like Vizio, Draw.io and Miro.
Experience working with RESTful API and general service-oriented architectures.
Experience with DevOps, Continuous Integration and Continuous Delivery technologies is desirable.
AWS Solution Architect certification (associate & above) is highly desirable
Excellent verbal and written communication skills.