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Job Title: Data Engineer / ETL DeveloperLocation: US, remote from IndiaDepartment: IT / Data & AnalyticsReports To: Head of Data & AnalyticsEmployment Type: Contract, 12 monthsPay: $28-35 per hour payrolled or self-employedAbout the RoleWe are seeking a Data Engineer / ETL Developer to help design, build, and maintain data pipelines that support our internal reporting and analytics needs. This role will focus on integrating data from systems such as ERP, MES, and production databases into a centralized data platform to enable reliable and timely insights across the business. You will work alongside BI developers, IT staff, and business users to ensure the smooth flow of data and contribute to the foundation of a modern business intelligence environment.Key ResponsibilitiesETL & Data Pipeline DevelopmentDevelop and maintain ETL/ELT pipelines to move data from source systems (ERP, MES, SQL databases, flat files) into our centralized platform.Use tools such as Azure Data Factory, SSIS, or similar to orchestrate and automate data workflows.Data Modeling & IntegrationAssist in designing and building data models and data marts optimized for Power BI dashboards.Support the creation and maintenance of dataflows and datasets in Power BI Service.Data Quality & DocumentationImplement data validation, transformation, and cleansing logic to ensure high-quality, reliable data.Document data processes, business rules, and data mappings to support knowledge sharing and governance.Cross-Functional CollaborationWork with internal teams (production, quality, operations, finance) to understand data requirements and reporting needs.Collaborate with BI developers to ensure the data pipeline supports efficient and user-friendly reporting.Required QualificationsBachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.2+ years of experience in data engineering or ETL development roles.Solid experience with SQL and ETL tools (e.g., Azure Data Factory, SSIS, Informatica, etc.).Familiarity with Power BI, including working with datasets, dataflows, or basic DAX.Understanding of data integration, transformation, and warehousing concepts.Experience working with or integrating manufacturing systems (ERP, MES) is a strong plus.Preferred SkillsExperience with cloud data platforms (especially Microsoft Azure).Exposure to Python or scripting for automation.Familiarity with data governance and documentation practices.Experience with manufacturing environments or industrial data is beneficial.Soft SkillsStrong attention to detail and a logical, structured approach to problem-solving.Willingness to learn and grow in a fast-paced environment.Good communication and collaboration skills across technical and non-technical teams.Proactive and solutions-oriented mindset.