Data engineer

·       Bachelor’s degree in engineering, Computer Science or related field; Master’s degree is a plus.

·       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 Vector Datastores 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