Overview
On Site
Depends on Experience
Contract - W2
Contract - 12 Month(s)
Unable to Provide Sponsorship
Skills
Amazon Redshift
Amazon Web Services
Big Data
Data Engineering
MySQL
SQL
Python
Apache Hadoop
Amazon SQS
Machine Learning (ML)
Oracle
Job Details
- Strong background with AWS services like lambda, glue, s3, emr, sns, sqs, cloudwatch, redshift, bedrock
- Expertise in SQL and relational databases like Oracle, MySql, PostgreSQL
- Proficient in Python programming for data engineering tasks, automations
- Experience with Big Data Hadoop, Spark
- Experience with Tableau
- Nice to have - knowledge with ML tooling/frameworks (scikit-learn, tensorflow etc.)
- Nice to have -AI/LLM knowledge with foundation models, rag, embeddings, vectors , prompt engineering.
The candidate ideally would need to have these:
- Excellent problem-solving and debugging skills with high attention to detail.
- Committed and highly motivated with ability to work independently and collaboratively.
- Able to take lead and motivate junior resources on a daily basis.
- Effectively communicate issues, incidents, and updates to management and stakeholders in a timely manner.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.