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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.
Date Posted: 27 February 2025
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