Data Engineer

Job Title: Data Engineer Company: NetWeb Software Job Category: Data Science Roles & Responsibilities: We are looking for a Data Engineer with strong hands\-on experience in Microsoft Fabric to design, build, optimize, and support scalable data engineering solutions. The role focuses on data ingestion and transformation, Lakehouse and Warehouse development, data pipelines, and reliable delivery of curated, analytics\-ready data. The successful candidate will work closely with data analysts, Power BI developers , application teams, and business stakeholders to translate business needs into secure, maintainable, high\-performing data solutions. Key Responsibilities ======================== Microsoft Fabric \& Data Platform Development ------------------------------------------------- * Design, develop, and maintain end\-to\-end data engineering solutions using Microsoft Fabric. * Build and manage Fabric Data Factory pipelines for batch, scheduled, and incremental data ingestion. * Develop and maintain Fabric Lakehouse and Warehouse solutions, using OneLake for centralized data storage and management. * Use Fabric notebooks, Spark, SQL analytics, and Dataflows Gen2 to process and transform data. * Apply Medallion Architecture (Bronze, Silver, and Gold) where appropriate for data organization, quality, and reuse. * Develop robust ETL/ELT processes to ingest data from databases, REST APIs, files, and cloud/SaaS applications. * Implement incremental loads, change data capture (CDC), slowly changing dimensions (SCD), partitioning, and other suitable processing strategies. * Develop and optimize analytical data models, including dimensional models and star/snowflake schemas. * Use SQL, Python, PySpark, and Spark SQL to transform, validate, and prepare data for reporting and analytics. * Implement data quality checks, validation, reconciliation, error handling, and appropriate recovery mechanisms. * Monitor pipeline execution and data processing; troubleshoot failures and perform root\-cause analysis. * Optimize Spark jobs, SQL queries, pipeline design, and storage usage for performance, scalability, and cost efficiency. * Implement logging, monitoring, alerting, and production\-support practices to improve platform reliability. * Support issue resolution and continuous improvement across data pipelines and platform workloads. * Apply appropriate security controls, workspace access, identity and access management, and data access practices with platform and security teams. * Follow data governance, documentation, and engineering standards; support data lineage and governance requirements where applicable. * Use Git\-based source control and support CI/CD and deployment processes for Fabric solutions through Azure DevOps or GitHub. * Document data architecture, pipelines, data models, dependencies, operational procedures, and technical decisions. * Experience with Git and source control, and familiarity with Azure DevOps or GitHub. * Understanding of CI/CD pipelines, automated deployment, environment management, and release practices. * Experience with monitoring, logging, troubleshooting, and production support. * Strong analytical thinking, problem\-solving, and attention to data quality. * Able to work independently while collaborating effectively with cross\-functional teams. * Clear communication and technical documentation skills. * Able to translate business requirements into scalable and maintainable data solutions. * Takes ownership of data engineering solutions from design and development through deployment and production support. * Shows initiative in learning and applying evolving Microsoft Fabric and modern data engineering capabilities. * Reliable, maintainable, and well\-documented Fabric pipelines delivered to agreed timelines. * Improved data quality, reconciliation, and availability of trusted analytics\-ready datasets. * Effective pipeline and query performance, with appropriate cost and resource optimization. * Timely resolution of pipeline issues and adherence to security and engineering standards. * Effective collaboration with reporting, analytics, application, and business teams. Work Location: GJ, India Availability: Full time

* Date Opened 10/09/2026 * Industry Technology * Job Type Full time * Work Experience 2\+ * City Vadodara * State/Province Gujarat * Country India * Zip/Postal Code 390001 Job Description ------------------- ### Requirements Required Qualifications =========================== Experience \& Education --------------------------- * 3\+ years of experience in data engineering, with mandatory hands\-on experience developing solutions in Microsoft Fabric. * Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, Data Science, or a related field; equivalent professional experience may be considered. * Experience building end\-to\-end data pipelines and supporting data solutions through development, deployment, and production. Preferred Qualifications ============================ * Microsoft Certified: Fabric Data Engineer Associate (DP\-700\) is preferred; Microsoft Certified: Fabric Analytics Engineer Associate (DP\-600\) is also relevant. * Experience migrating data solutions from Azure Synapse Analytics, Azure Data Factory, Databricks, or traditional data warehouses to Microsoft Fabric. * Experience with Power BI semantic models and DAX. * Knowledge of Microsoft Purview, data governance, data lineage, and compliance practices. * Exposure to real\-time analytics, Eventstream, or Real\-Time Intelligence in Microsoft Fabric. * Experience integrating REST APIs and SaaS data sources. * Familiarity with Microsoft Azure AI Foundry / Microsoft Foundry and its data or AI\-related capabilities. * Experience working in Agile/Scrum teams. Preferred Candidate Profile =============================== Key Skills: Data Science, Python, SQL, Power BI Salary: Not disclosed