AWS Data Engineer

Must have 8+ years of experience in Database and Cloud-based technologies, with expertise in AWS, Databricks, Python, and SQL.

What You Will Do

Will build data ingestion pipelines for structured and unstructured data, work with cloud data stores, and have experience with machine learning and AI concepts.

Why It Might Be a Fit

Ideal candidate is highly innovative, detail-oriented, and able to communicate effectively with both technical and business teams.

Requirements

• 8+ years of experience in Database and Cloud-based technologies
• Experience in building data ingestion pipelines for structured and unstructured data
• Experience working with Cloud data stores (specifically AWS)
• Proficiency with languages such as Python, SQL, and PySpark
• Experience working with Databricks and Snowflake technologies
• Exposure to Machine learning and AI concepts related to RAG architecture, LLMs and embedding
• Experience with relevant code repository and project tools such as GitHub, JIRA and Confluence
• Working experience with Continuous Integration & Continuous Deployment with hands-on expertise on Jenkins, Terraform, Splunk and Dynatrace
• Bachelor's degree in Engineering, Computer Science or related field; Master's degree is a plus