Senior AWS Data Engineer: Cloud Data Pipelines & AI

Amtex Systems Inc; Parsippany-Troy Hills (NJ); On-site; USD 130,000 - 170,000; Full time

Job summary

Amtex Systems Inc. is seeking an experienced data engineer with 8+ years in database and cloud-tech. The role focuses on building ingestion pipelines for structured and unstructured data, leveraging AWS data stores, NoSQL, graph and vector databases, and PySpark.

You will work with Databricks, Snowflake, and ML/AI concepts related to RAG, LLMs, and embeddings. Strong scripting in Python and SQL, plus experience with GitHub, JIRA, Confluence, and CI/CD tools.

Qualifications

• 8+ years relevant industry and functional experience in Database and Cloud-based technologies.
• Experience in building data ingestion pipelines for Structured and Unstructured data both for storage and optimal retrieval.
• Experience working with Cloud data stores (specifically AWS), noSQL, Graph and Vector databases.
• 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 is a plus.
• 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.
• Highly innovative with aptitude for foresight, systems thinking and design thinking, with a bias towards simplifying processes.
• Detail oriented individual with strong analytical, problem-solving, and organizational skills.
• Ability to clearly communicate to both technical and business teams.

Skills

AWS

Databricks

Python

SQL

AI experience

Education

Bachelor's degree in Engineering or Computer Science

Master's degree is a plus

Tools

GitHub

JIRA

Confluence

Jenkins

Terraform

Splunk

Dynatrace

Job description

Amtex Systems Inc. is seeking an experienced data engineer with 8+ years in database and cloud-tech. The role focuses on building ingestion pipelines for structured and unstructured data, leveraging AWS data stores, NoSQL, graph and vector databases, and PySpark.

You will work with Databricks, Snowflake, and ML/AI concepts related to RAG, LLMs, and embeddings. Strong scripting in Python and SQL, plus experience with GitHub, JIRA, Confluence, and CI/CD tools.