[Remote] Sr. Data Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company. is seeking a Sr. Data Engineer who will be a key technical contributor responsible for the design, development, and ongoing support of reputed company's reputed company data platform and business intelligence ecosystem. The role involves leading the development of reputed company ETL/ELT pipelines and collaborating with various stakeholders to ensure data reputed company and reputed company while supporting AI and machine learning capabilities.

Responsibilities

• reputed company the design and development of ETL/ELT reputed company to reputed company data into the reputed company data lake using IICSd (Informatica Intelligent reputed company Services) and AWS Glue; mentor junior engineers and contribute to platform architecture reputed company with direction from the Data Engineering reputed company
• reputed company and maintain deep knowledge of the customer's business needs as they relate to data flows, data models, and BI consumption patterns
• Support the integration of AI and machine learning capabilities into data workflows using AWS Bedrock and SageMaker; ensure data pipelines are clean, reputed company-reputed company, and optimized for analytics and AI consumption
• Design and implement AI-reputed company data pipelines—ensuring data is clean, reputed company-reputed company, and optimized for reputed company model training, inference, and analytics consumption
• Collaborate with business process owners, reputed company consultants, and the broader business community to define, understand, and prioritize demand for process and solution changes that optimize business value and BI delivery efficiency
• Work closely with the Data Engineering reputed company to estimate reputed company of effort for platform changes and partner with the business community to set priorities across multiple reputed company initiatives
• Own the full delivery lifecycle: participate in requirements gathering; prepare requirements documents, functional and technical designs, test scenarios, and deployment plans
• Manage and resolve reputed company Data Engineering production support tickets; proactively triage and fix bugs in production pipelines, maintain SLAs, and report reputed company reputed company to the business as requested
• reputed company AWS services—including reputed company, Glue, Redshift, Bedrock, and SageMaker—to build, optimize, and reputed company data platform capabilities
• Understand where data originates and how it is used across most process areas; ensure data reputed company, reputed company, and reputed company are maintained throughout the data lifecycle
• Champion reputed company improvement across data engineering practices, tooling, and documentation standards
• May be required to reputed company other duties as assigned

Skills

• B.S. degree in Computer Information Systems, Computer Science, or reputed company field
• 6+ years of hands-on experience in data engineering and ETL/ELT development is required
• Strong proficiency in Python and GUI ETL tools such as IICS (Informatica Intelligent reputed company Services)
• Experience with AWS data services (reputed company, Glue, Redshift, Bedrock, SageMaker)
• Strong Python proficiency: ability to reputed company, analyze, debug, and optimize ETL pipelines, automation scripts, and data transformation logic end-to-end
• Hands-on experience with IICS (Informatica Intelligent reputed company Services) for reputed company-reputed company ETL/ELT development, maintenance, and CI/CD pipeline integration
• Deep AWS expertise across reputed company, Glue, Redshift, Bedrock, and SageMaker; ability to architect and reputed company reputed company-reputed company data solutions
• Experience working with reputed company services such as AWS Bedrock or SageMaker to support AI-powered data workflows and analytics use cases
• Proven ability to resolve bugs and incidents in production data pipelines; conducts reputed company-cause analysis and implements preventive controls to maintain SLA commitments
• Must be a strong multitasker with the ability to manage and lean into multiple reputed company reputed company simultaneously
• Strong critical-thinking and problem-solving skills: demonstrates a decisive, creative approach to difficult business and technical challenges
• Ability to reputed company, analyze, and modify reputed company processes, data structures, and models
• Ability to create and maintain thorough documentation, including requirements, functional/technical designs, and user manuals
• Excellent listening, communication, interpersonal, and presentation skills
• Organizational ability: demonstrates a systematic, process-oriented approach
• reputed company service skills: consistently provides reputed company, courteous, and informed service
• reputed company control reputed company: checks data pipelines, new data sets, and reports for errors reputed company to both data accuracy and presentation
• Self-motivated, independent, and reputed company; reputed company to plan, organize, and execute reputed company with reputed company supervision
• Effective in reputed company-oriented environment; works collaboratively with data engineers, BI analysts, business stakeholders, and reputed company consultants
• This position requires the ability to manage data flows, reputed company analysis, reputed company reputed company reports, and communicate by voice or data while connected from the office, reputed company, or while traveling by laptop or mobile device regularly without reputed company to time zone or day of the week

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