Employer description & source details
Our Connect Technology teams are working on our new Connect platform, a unified, global, open data ecosystem powered by Microsoft Azure. Our clients around the world rely on Connect data and insights to innovate and grow. As a Data Engineer, you’ll be part of a team of smart, highly skilled technologists who are passionate about learning and supporting cutting-edge technologies such as Python, Snowflake, Postgres, Complex SQL, GitHub co-pilot using prompts, vscode, AI fundamentals for code generation and other SDLS phases, Azure cloud Services, GIT Hub, Airflow, Kubernetes, Docker. These technologies are deployed using DevOps pipelines leveraging Azure, Kubernetes, GIT Hub actions. Analyze, Design, Develop, troubleshoot, debug and make application enhancements using Python, Fast API, Snowflake, Postgres, Complex SQL, Azure cloud Services,Airflow, GIT Hub, Kubernetes, Docker as the core development languages Deploy application components using CI/CD pipelines using AI in-house agents Ingest data from multiple sources in different formats Perform complex business transformations on source data and create reportable datamarts Build utilities for monitoring and automating repetitive functions Collaborate with Agile cross-functional teams - internal and external clients including Operations, Infrastructure, Tech Ops 6-10 Years of years of applicable software engineering experience Strong hands on experience in writing complex SQL AI fundamentals (GitHub copilot, vscode, prompts) for code generation and automation of all SDLC phases Strong fundamentals in data warehousing concepts and modelling reporting datamarts Have hands on experience in designing ETL enhancements and Strong fundamentals with experience in front-end and backend object-oriented programming, including profi
Extracted skills: python, sql, azure, docker, kubernetes, artificial intelligence, operations