RIT Solutions, Inc.
Title : Senior Data Engineer
Location : Remote
Duration : 6 Months to start can go up to 2 years
Visa : No H1B
Must Haves:
RedShift/SQL WS - Dynamo Python Gen AI -
AWS Bedrock ideally - but any LLM works (they are at Infancy of using AI, Using some AI to make some predictions on the data (explore the machine learning technologies, 12-16 months) Can coach
and mentor, individual contributor type Strong big data
engineers, ready for hands on work BI Tool WS - CloudFormation WS - Lambda WS - S3 WS - SNS/SQS WS Step Function Node.js Development Expert in writing and optimizing complex SQL queries for data extraction, transformation, and reporting (e.g., SELECT, JOIN, GROUP BY, HAVING, WINDOW functions). Expert integrating Redshift Serverless with AWS services such as S3, Glue, Lambda, Athena, and Kinesis BI tools like Tableau, Quicksight, or Looker for real-time analytics and dashboards Expert in building serverless ETL pipelines with Lambda to automate data ingestion and transformation into Redshift. Experience in integrating Redshift Serverless with Experience of NodeJS and Python Working knowledge of any AI technologies Experience in working with AWS services, deploying applications to AWS Exposure to DevOps tools and automation Effective communication skills are a must along with a strong customer service orientation, and the ability to clearly discern client needs.
Must Haves:
RedShift/SQL WS - Dynamo Python Gen AI -
AWS Bedrock ideally - but any LLM works (they are at Infancy of using AI, Using some AI to make some predictions on the data (explore the machine learning technologies, 12-16 months) Can coach
and mentor, individual contributor type Strong big data
engineers, ready for hands on work BI Tool WS - CloudFormation WS - Lambda WS - S3 WS - SNS/SQS WS Step Function Node.js Development Expert in writing and optimizing complex SQL queries for data extraction, transformation, and reporting (e.g., SELECT, JOIN, GROUP BY, HAVING, WINDOW functions). Expert integrating Redshift Serverless with AWS services such as S3, Glue, Lambda, Athena, and Kinesis BI tools like Tableau, Quicksight, or Looker for real-time analytics and dashboards Expert in building serverless ETL pipelines with Lambda to automate data ingestion and transformation into Redshift. Experience in integrating Redshift Serverless with Experience of NodeJS and Python Working knowledge of any AI technologies Experience in working with AWS services, deploying applications to AWS Exposure to DevOps tools and automation Effective communication skills are a must along with a strong customer service orientation, and the ability to clearly discern client needs.