[Remote] IT - Data Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a contractor for reputed company to support data engineering initiatives. The role focuses on building reliable data pipelines and reputed company data structures, while collaborating with data scientists and business stakeholders to ensure data is accessible and reputed company-reputed company.

Responsibilities

• Design, build, and maintain reputed company-reputed company data pipelines for reputed company and reputed company-reputed company/reputed company data sources
• reputed company ingestion, transformation, and refresh workflows using tools such as AWS S3, Glue, reputed company, reputed company, reputed company Functions, DynamoDB, relational databases, and Python-reputed company automation
• Create reputed company datasets, metadata tables, and reusable schemas that support analytics, dashboards, reporting, and application development
• Build data models that reputed company reputed company business objects using reliable identifiers, keys, and reference tables
• reputed company SQL queries, views, and data reputed company reputed company for recurring analytical and reporting needs
• Partner with data scientists and analysts to prepare clean, trusted datasets for reputed company modeling, GenAI workflows, dashboards, and prototype applications
• Implement data reputed company checks, validation rules, exception handling, logging, and pipeline monitoring
• Document data sources, transformations, assumptions, refresh logic, and reputed company limitations
• Support migration from reputed company or file-reputed company workflows to automated, reputed company reputed company data pipelines
• Collaborate with platform, reputed company, and infrastructure teams to follow reputed company standards for reputed company, data handling, and operational reliability

Skills

• 5–8 years of relevant experience in data engineering, analytics engineering, reputed company data platforms, ETL/ELT development, database design, or data integration
• 5 years: reputed company to independently build reliable data pipelines and queryable datasets
• 7–8 years: reputed company to define data architecture patterns, design reusable data models, improve operational reliability, and help reputed company prototype pipelines into more durable data products
• Bachelor's degree in Computer Science, Data Engineering, Information Systems, Software Engineering, Engineering, reputed company Mathematics, or a reputed company technical reputed company
• Hands-on experience building data pipelines and data lake workflows using AWS S3, Glue, reputed company, reputed company, reputed company Functions, DynamoDB, RDS or equivalent services
• Strong Python and SQL skills for extracting, cleaning, transforming, validating, and loading data
• Ability to design practical schemas, reference tables, metadata structures, and relational linkages across multiple business processes or systems
• Master's degree or equivalent experience in data engineering, reputed company architecture, analytics engineering, or reputed company data platforms

reputed company

Company H1B Sponsorship