04 Nov
|
Pylon Management Consulting
|
Bengaluru
04 Nov
Pylon Management Consulting
Bengaluru
Were looking for a skilled Data Engineer with Microsoft Fabric experience to join our growing data and AI team. In this role, you will design and build up-to-date data platforms leveraging Microsoft Fabric, enabling scalable analytics, AI-driven insights, and enterprise-grade data solutions for global clients. This is an excellent opportunity to work on next-generation data architectures, contribute to AI-driven transformation programs, and grow into advanced data engineering and platform leadership roles.
Key Responsibilities
- Design, build, and maintain scalable data pipelines using Microsoft Fabric Data Factory (Pipelines), Dataflows Gen2, Fabric Notebooks, and Lakehouse.
- Develop and manage OneLake/Fabric Lakehouse architectures for structured and semi-structured healthcare and enterprise data.
- Build and optimize batch and API-based ingestion pipelines from multiple enterprise data sources, databases, files, and application systems.
- Develop robust ETL/ELT workflows using SQL, Python, and PySpark for data transformation and enrichment.
- Implement data quality, validation, reconciliation, completeness, consistency, and anomaly-detection checks across source and target datasets.
- Develop data standardization, deduplication, entity-resolution, record-linkage, and matching workflows across heterogeneous data sources.
- Design analytics-ready datasets and data models for data scientists, analysts, ML pipelines, and downstream applications.
- Collaborate closely with data scientists and ML engineers to prepare reliable feature-ready and model-consumable datasets.
- Integrate Microsoft Fabric with Azure data services such as Azure Data Lake Storage, Azure SQL, Synapse components, and Power BI where required.
- Implement incremental ingestion, change-data handling, error handling, retry mechanisms, and pipeline recovery strategies where applicable.
- Implement observability and monitoring using Azure Log Analytics, alerts, action groups, and pipeline-level monitoring.
- Support data lineage,
metadata management, governance, security, and discoverability using Fabric Catalog and/or Microsoft Purview.
- Optimize SQL queries, Spark transformations, storage strategies, and pipeline execution for large-scale datasets.
- Support CI/CD, Git-based version control, deployment automation, and DataOps practices for Fabric data solutions.
Required Qualifications MICROSOFT DP – 700 / 900 CERTICATIONS – Mandatory
- Bachelor’s/Master’s degree in Computer Science, Engineering, Data Engineering, or a related field, or equivalent practical experience.
- 3–6 years of hands-on data engineering experience, including practical Microsoft Fabric experience.
- Strong hands-on experience with Microsoft Fabric Lakehouse, OneLake, Data Factory/Pipelines, Dataflows Gen2, and Fabric Notebooks.
- Strong SQL skills, including complex queries, data transformation, optimization, and data modeling.
- Strong Python and/or PySpark experience for data transformation and pipeline development.
- Experience designing and implementing ETL/ELT pipelines and integrating data from APIs, databases, files, and enterprise systems.
- Experience implementing data quality, validation, reconciliation, and error-handling workflows.
- Experience with data matching, entity resolution, deduplication, record linkage, or similar data integration workflows.
- Working knowledge of Azure Data Lake Storage, Azure SQL, and/or Synapse Analytics.
- Understanding of data warehousing concepts, dimensional modeling, and analytics-ready data design.
- Familiarity with Git, CI/CD, deployment automation, and DataOps practices.
- Understanding of data governance, security, lineage, metadata, and performance optimization.
Preferred Qualifications
- Experience working with healthcare/provider data.
- Experience integrating Power BI with enterprise data platforms.
- Exposure to Microsoft Purview or Fabric Catalog.
- Experience with incremental/CDC ingestion and event-driven or near-real-time data pipelines.
- Exposure to Eventstream, Azure Event Hubs, or other streaming ingestion frameworks.
📌 Data Engineer - Microsoft Fabric ( Only NP Serving candidates ) (Bengaluru)
🏢 Pylon Management Consulting
📍 Bengaluru