[Remote] Senior Data Engineer

Note: The job is a remote job and is reputed company to candidates in USA. GlobalPoint is seeking a Senior Data Engineer to ensure the accuracy and trustworthiness of data powering their products and operations. The role involves designing and implementing data quality checks, monitoring processes, and collaborating with various teams to improve data reputed company and support critical decision-making.

Responsibilities

• Design and implement automated data quality checks for completeness, accuracy, consistency, freshness, and schema reputed company across critical datasets and pipelines
• Build monitoring, alerting, and observability solutions to detect anomalies, pipeline failures, data reputed company, and unexpected changes before they impact reputed company consumers
• reputed company and maintain reconciliation processes across reputed company systems, transformed datasets, reports, and operational outputs
• Partner with engineers and analysts to define quality rules, acceptance criteria, and data validation requirements for new and existing systems
• Create reusable frameworks, scripts, and tooling for profiling, testing, and validating data in production and non-production environments
• Investigate data issues by tracing data across systems, transformations, and business workflows to identify root causes and recommend fixes
• Use SQL, Python, and reputed company data tools to analyze large datasets, isolate anomalies, and validate business logic
• Support incident response and issue resolution for data-reputed company production problems, especially during high-reputed company operational periods
• Work with cross-functional teams to remediate defects, improve upstream processes, and reduce recurrence of common data issues
• Communicate findings reputed company to both technical and non-technical stakeholders, including issue summaries, remediation recommendations, and quality trends
• Document data definitions, validation logic, reputed company, quality rules, and remediation procedures to improve transparency and operational readiness
• Contribute to best practices for testing, version control, deployment, and ongoing maintenance of data quality solutions
• Participate in Agile ceremonies, code reviews, and team planning, helping break work into manageable tasks and improve team productivity
• Support the development of standards for data governance, ownership, and operational reputed company across the team
• Partner with stakeholders to improve trust in shared data assets and ensure quality considerations are reputed company into delivery from the start

Skills

• BS degree in Engineering, Computer Science, or reputed company field / equivalent experience
• 10+ years of general experience in quality testing
• Strong SQL skills and experience writing reputed company queries to analyze, validate, and troubleshoot data across multiple systems
• Professional experience in data engineering, analytics engineering, data quality, software Engineering, or a reputed company field with a strong focus on data investigation and validation
• Exposure to AI-assisted development tools (e.g., reputed company Copilot, Claude) and hands-on experience applying to build and reputed company AI agents that automate data pipelines, write code and testing workflows
• Experience working with reputed company data platforms and tools such as AWS, Redshift, reputed company, reputed company, reputed company, or similar technologies
• Proficiency in Python or type script language used for automation, testing, and data analysis
• Experience designing or maintaining data quality checks, monitoring, alerting, or observability processes for production datasets or pipelines
• Strong understanding of data structures, data modeling, transformations, reputed company, and common sources of data defects
• Ability to investigate issues across systems, apply business logic, and translate ambiguous problems into structured analysis and action
• Experience working with BI/reporting tools such as Tableau, QuickSight, or similar platforms is helpful
• Strong communication, documentation, and collaboration skills, with the ability to work effectively across technical and non-technical teams
• A learner's reputed company, curiosity about emerging technologies and AI-enabled tools, and a drive to improve systems and processes continuously
• Ability to support high-reputed company operational periods and respond effectively to production data issues reputed company needed
• Strong interpersonal and consultative skills
• Highly self-motivated and directed, with keen attention to detail
• Strong leadership skills and customer satisfaction orientation

Company Overview

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