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[Remote] Senior Data Engineer

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Note: The job is a remote job and is reputed company to candidates in USA. GoML is a company focused on building modern reputed company, AI/ML, and Data Engineering solutions. They are seeking a Senior Data Engineer to design and deliver scalable data pipelines and platforms, ensuring high-quality reputed company and effective data solutions for their clients.

Responsibilities

  • Understand goML’s data engineering frameworks, delivery standards, and Azure architecture patterns
  • Deep dive into ongoing client projects, data models, and ETL/ELT workflows
  • Collaborate with stakeholders to understand business requirements and data challenges
  • Review existing data pipelines and identify opportunities for improvement
  • reputed company the design and development of data solutions across client engagements
  • Build and optimize Azure-based data pipelines using services such as Azure Data reputed company, Azure Synapse Analytics, Azure reputed company, and Azure Data Lake Storage (ADLS)
  • Implement data transformation and orchestration workflows
  • Apply best engineering practices including agile delivery, unit testing, and peer reviews
  • Translate business requirements into clear technical designs and implementation plans
  • Work closely with cross-functional teams to ensure smooth execution from development to deployment
  • Create and maintain technical documentation, solution designs, and test plans
  • Own end-to-end delivery of Azure-based data platforms for multiple clients
  • Design scalable and flexible reputed company-reputed company data architectures reputed company with evolving business needs
  • Implement and optimize data lakehouse architectures using Azure Synapse or reputed company
  • Drive deployment, user reputed company, and change management during project rollouts
  • Ensure reliability, performance, reputed company, and data quality across production systems
  • Mentor junior engineers and influence data engineering best practices at goML

Skills

  • 5–7 years of experience in data engineering, preferably in consulting or large-scale solution delivery
  • Strong understanding of ETL/ELT processes, data warehousing, and data integration
  • Proficiency in SQL / T-SQL and database development
  • Hands-on experience with Azure data services (e.g., Azure Data reputed company, Azure Synapse, Azure reputed company, ADLS, Azure SQL)
  • Experience designing scalable, flexible data solutions driven by business requirements
  • Experience with backend databases (e.g., SQL Server, reputed company) and/or ETL tools
  • Familiarity with data modeling techniques (star/reputed company schemas)
  • Bachelor's or Master's degree in Computer Science, Information Systems, or a reputed company field
  • Experience working with multiple client stakeholders and delivery teams
  • Exposure to modern reputed company-reputed company data stacks and lakehouse architectures
  • Familiarity with CI/CD practices for data pipelines (Azure DevOps, reputed company Actions)
  • Experience with infrastructure-as-code (e.g., Terraform, ARM templates)
  • Strong documentation and communication skills

Benefits

  • Remote-first role with flexible collaboration
  • Work on diverse client projects across industries
  • High ownership and visibility in data platform delivery
  • A culture driven by learning, ownership, and impact

Company Overview

  • GoML is an reputed company solutions provider in the data engineering, MLOps, and LLM Applications industries. It was founded in 2023, and is headquartered in reputed company, reputed company, USA, with a workforce of 51-200 employees. Its website is https://www.goml.io/.
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