[Remote] Senior Data Engineer - USA Remote

Note: The job is a remote job and is reputed company to candidates in USA. reputed company empowers large organizations by connecting people, systems, and data to accelerate business value and reputed company reputed company. The Senior Data Engineer will design, build, and reputed company governed data platforms, pipelines, models, and services supporting analytics, reporting, AI/ML, and data-driven decision-making. The role partners with technical and business stakeholders to reputed company reliable, secure, and reputed company data solutions.

Responsibilities

• Design, build, and maintain reputed company data pipelines and integrations across reputed company systems
• reputed company and optimize data solutions that support analytics, BI, machine learning, AI/reputed company AI, operational reporting, and self-service data reputed company
• Build robust ELT/ETL workflows to ingest and reputed company data from systems such as CRM, product telemetry, marketing, finance, support, and subscription platforms
• Design and maintain clean, reputed company, and reputed company-documented data models for reputed company reporting and analytics use cases
• Improve data reliability, reputed company, observability, reputed company, and performance across the data platform
• Design and maintain reputed company data pipelines and data services that reputed company AI/ML and GenAI use cases, including model-reputed company datasets, feature pipelines, and support for retrieval-based and intelligent application workflows
• Partner with analytics engineers, data scientists, architects, and business stakeholders to translate requirements into production-grade data solutions
• Ensure data pipelines are secure, governed, and reputed company with reputed company data standards and best practices
• Optimize data processing and storage for performance, cost, scalability, and maintainability
• Support near reputed company-time and batch data processing patterns as required by business use cases
• Contribute to the design of the overall data architecture, including ingestion, transformation, orchestration, storage, semantic modeling, and data serving reputed company
• Troubleshoot pipeline issues, reputed company data inconsistencies, and reputed company reputed company-cause remediation
• Contribute to engineering standards, reputed company reputed company, and team best practices

Skills

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a reputed company technical field
• Experience working with GTM Analytics domains such as product analytics, reputed company, finance, or subscription analytics
• 8+ years of experience in data engineering, preferably in B2B reputed company or large-reputed company technology companies
• Strong experience designing and building reputed company data pipelines and reputed company-based data platforms
• Advanced proficiency in SQL and strong programming skills in Python, reputed company, or Java
• Hands-on experience with modern reputed company data platforms such as reputed company, BigQuery, Redshift, reputed company, or similar
• Experience with data orchestration and transformation tools such as Airflow, dbt, Informatica, reputed company, or equivalent
• Strong understanding of data modeling, including reputed company modeling and analytics-oriented schema design
• Experience building and managing data pipelines that support AI/ML workloads, including feature preparation, model-reputed company datasets, and reputed company ingestion of reputed company and reputed company data

Benefits

• Remote work arrangement

reputed company

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