Azure Data Factory

We are looking for Azure Data Factory (ADF) Engineer Experience in US Healthcare domain Shift timing: Mode: Hybrid - 3 days office and 2 days work from home Total experience: Relevant Experience: Demonstrated experience enterprise cloud data engineering, design, and data management techniques and principles related to data warehousing, operations data stores, data marts, data lake design, and other emerging technologies. Proven expertise in designing and orchestrating batch and real-time data ingestion workflows using Azure Data Factory (ADF) and other ETL tools such as Informatica IICS, Snowflake, AWS Glue etc. Hands-on expertise in building, testing, deploying, and monitoring scalable ETL/ELT pipelines using Azure Data Factory and related Azure services. Proficient in data pipelines troubleshooting, development of triggers, automatic failure notification, optimizing, and cost-tuning Azure-based data pipelines and cloud workflows. Hands-on experience ingesting data from a wide range of cloud and web applications, such as Meta Ads, Google Ads, GA4, BigQuery, Salesforce, and REST APIs using Azure Data Factory. Advanced proficiency in SQL for querying, managing, and optimizing datasets within Azure SQL Database and Azure Synapse Analytics. Experience working with Azure Data Lake and Azure Blob Storage to manage structured and unstructured data assets. Ability to develop robust pipelines to ingest data from databases, sFTP, file-based systems, and external APIs within the Azure ecosystem. Strong knowledge of data modeling, including conceptual, logical, and physical model design for both transactional and analytical systems. Strong expertise on Azure data and AI ecosystem, with proficiency in services such as Azure Data Lake, Azure Synapse Analytics, Azure ML, Azure SQL Database , and seamless integration of ADF pipelines with AI/ML workflows . Experience developing and operationalizing AI/ML pipelines , including preparing training datasets, orchestrating model training/inference, and integrating ML models into data workflows using ADF, Azure ML, Databricks, or Synapse ML. Practical experience with data normalization, denormalization, relational database design, and using data modeling tools such as ER/Studio, Erwin, or SQL Power Architect. Demonstrated ability to implement and uphold coding standards, manage code reviews, and lead data validation and testing (unit, integration, and regression). Proven experience establishing data standards, naming conventions, and governance for enterprise and clinical datasets. Extensive knowledge of healthcare data vocabularies such as SNOMED CT, LOINC, ICD-10, and RxNorm are a strong plus. Solid experience implementing CI/CD pipelines, including branching strategies, version control (e.g., Git), and automated deployments. Experience developing and maintaining data quality frameworks, including data profiling, validation, and cleansing strategies. Proven ability to drive metadata management and data lineage practices that support auditability, compliance, and governance. Strong collaboration skills with business, clinical, and technical stakeholders to align data initiatives with organizational goals and regulatory requirements (e.g., Ability to manage project timelines, prioritize tasks , adapt to changing requirements, and deliver high-quality data solutions on time. # ADF(Azure Data Factory) Developer- Azure Data Factory, Azure SQL, CI/CD Pipelines & Devops, Advanced Data Engineering(Cloud and On-premises system), Healthcare Domain Experience,