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Job Title: Data Engineer / ETL Developer Location:US, remote from India Department:IT / Data & Analytics Reports To:Head of Data & Analytics Employment Type:Contract, 12 months Pay:$28-35 per hour payrolled or self-employedAbout the Role We are seeking aData Engineer / ETL Developerto 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 asERP, 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 Responsibilities ETL & Data Pipeline Development Develop and maintainETL/ELT pipelinesto move data from source systems (ERP, MES, SQL databases, flat files) into our centralized platform. Use tools such asAzure Data Factory ,SSIS , or similar to orchestrate and automate data workflows. Data Modeling & Integration Assist in designing and buildingdata modelsanddata martsoptimized for Power BI dashboards. Support the creation and maintenance ofdataflowsanddatasetsin Power BI Service. Data Quality & Documentation Implement 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 Collaboration Work 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 Qualifications Bachelor’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 withSQLand ETL tools (e.g.,Azure Data Factory ,SSIS ,Informatica , etc.). Familiarity withPower 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 Skills Experience with cloud data platforms (especiallyMicrosoft 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 Skills Strong 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.