Data Engineer - Oil and Gas Industry background

Role Overview The Data Engineer focuses on building and maintaining data platforms, data pipelines, AI/ML workflows, and cloud-based solutions that support Client's energy industry software products.

Mandatory Skills:

•          5+ years of relevant software/data engineering experience.

•          Oil and Gas Experience preferred

•          Python

•          SQL

•          Data Modeling

•          ETL/Data Pipeline Engineering

•          AI/ML Frameworks

•          Cloud Platforms (Azure/AWS)

•          Software Development fundamentals

•          System Design and Architecture

•          Full-stack exposure (Angular/Node.js preferred)

Key Responsibilities

•          Design, build, and maintain scalable data pipelines and ETL processes.

•          Develop and manage end-to-end AI/ML pipelines.

•          Support data modeling, data integration, and data quality initiatives.

•          Design and deploy cloud-native data and AI solutions.

•          Implement LLM and Generative AI solutions, including:

o          Retrieval Augmented Generation (RAG)

o          Vector databases/search

o          Prompt orchestration pipelines

•          Ensure data governance, security, and responsible AI practices.

•          Monitor production systems for reliability, performance, and scalability.

•          Participate in architecture decisions for enterprise-scale platforms.

Education:

•          Bachelor's degree in Computer Science or related field.