RIT Solutions, Inc.
Healthcare Payor / Provider client experience REQUIRED.
Deep experience working as an AWS Data Solution Architect with 5+ years AWS Cloud. Must excel in client/ stakeholder interactions, bridging the gap between technical complexities and business requirements. Clear and concise communication of technical decisions to non-technical stakeholders will be crucial for success and successful adoption
10+ years of creating data engineering solutions, ETL/ELT pipelines on multi-terabyte SQL/NoSQL databases, data warehouse
environment Data Warehouse / Data Platforms (Kafka and Kinesis required)
- They have
NO INTEREST in folks with just Azure or GCP Hands-on experience with
building AWS POCs
for data solutions which include: Moving legacy on-prem data platforms to the cloud ETL / Data Modeling / Data Parsing Data streaming / Realtime data transfer Business side interaction-Comfortable
talking with Business stakeholders and working with them on POCs to gather data requirement and define future state Experience with
Aurora DB loads in real-time/streaming (Kafka, Kinesis). Experience with
data parsing in Json or xml.
Responsibilities
Required Technical Skills
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 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. Healthcare domain knowledge
required. Excellent verbal and written communication skills
environment Data Warehouse / Data Platforms (Kafka and Kinesis required)
- They have
NO INTEREST in folks with just Azure or GCP Hands-on experience with
building AWS POCs
for data solutions which include: Moving legacy on-prem data platforms to the cloud ETL / Data Modeling / Data Parsing Data streaming / Realtime data transfer Business side interaction-Comfortable
talking with Business stakeholders and working with them on POCs to gather data requirement and define future state Experience with
Aurora DB loads in real-time/streaming (Kafka, Kinesis). Experience with
data parsing in Json or xml.
Responsibilities
Required Technical Skills
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 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. Healthcare domain knowledge
required. Excellent verbal and written communication skills