AWS Data Engineer - LOCAL TO Dallas, TX ONLY

Job Description: 1st round is a coder pad (this Friday) 2nd round with hiring manager to talk technical Soft skills and personality are big. Really need someone with strong AWS (not Azure) Coming from financial services, banking, or healthcare are highly preferred Attaching someone one the team Job Description: The client is seeking a Cloud Data Engineer to join the Technology Risk Division of a prominent financial institution. This role is instrumental in orchestrating firmwide liquidity and risk metric calculations, ensuring the organization leverages the right data sets for accurate and strategic decision-making. As part of this team, you’ll be responsible for updating and optimizing data sources, enhancing the performance of large-scale datasets, and consolidating data currently stored across multiple platforms into Snowflake. Your work will directly support the firm’s mission to improve risk exposure strategies through robust, cloud-based data engineering. Required Skills: • 7+ years of experience as a Data Engineer, working with large-scale data systems • 2 - 3 years of hands-on experience with Amazon Web Services (AWS) • Good understanding of Apache Airflow for scheduling and orchestration • Strong proficiency in Python for data engineering and workflow automation • Advanced skills in writing complex SQL queries, especially for data migration into Snowflake • Familiarity with the Software Development Life Cycle (SDLC) especially for python dominated ecosystems. • Excellent communication skills and ability to translate business needs into technical solutions Nice to Have Skills: • Prior experience with or interest in learning Slang Infrastructure, a proprietary programming language • Familiarity with Amazon MWAA (Managed Workflows for Apache Airflow) for cloud-based workflow orchestration and monitoring