Kellton is seeking a Senior Data Engineer with a focus on data analytics and AI. The role involves collaborating with Product Owners, Architects, and other engineers to design and implement features while ensuring high-quality software development in a cloud environment.
Responsibilities:
- 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
Requirements:
- 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