AI Data Engineer

Role: Senior Data Analytics Engineer with AI Initiatives (Must)Location: New York/ RemoteExperience: 5 - 10 yearsDuration: Full timeJob Description:We are looking for a Lead Engineer to build and maintain scalable data pipelines and data platforms that support analytics, business Intelligence, reporting, and AI initiatives. In this role, you will work closely with data architects, analysts, and business stakeholders to develop reliable data solutions and ensure high-quality data is available across the organization.This is a hands-on engineering role focused on designing efficient data pipelines, improving data infrastructure, and enabling teams to leverage data effectively.ResponsibilitiesDesign, build, and maintain scalable data pipelines and ETL/ELT workflows to ingest and transform data from multiple sourcesDevelop and optimize batch and near real-time data processing pipelines for analytics and reportingBuild and maintain data warehouse and data lake structures to support business intelligence and analytics use casesImplement and maintain data models that support efficient querying and reportingImprove performance and scalability of data systems through query optimization, indexing, and partitioning strategiesImplement data quality checks, monitoring, and logging to ensure reliability of data pipelinesExposure to AI initiatives and experience building data pipelines supporting AI workflows Work with data architects and engineering teams to implement scalable data platform designsCollaborate with analysts, BI developers, and business stakeholders to deliver data solutions that support business needsMaintain documentation for data pipelines, data models, and data workflowsRequirements5 - 10 years of experience in Data Engineering and GenAI and Data Scientist and AI EngineerStrong experience with SQL and Python for data processing and transformationExperience building and maintaining ETL/ELT pipelinesSolid understanding of data warehousing concepts and dimensional data modelingExperience working with cloud data platforms or modern data infrastructureFamiliarity with workflow orchestration tools such as Airflow or similarUnderstanding of API-based data ingestion and data integration patternsStrong problem-solving and collaboration skillsEducationBachelor's or master's degree in computer science, Engineering, Information Systems, or a related field, or equivalent practical experience.