We are looking for Azure Data Factory (ADF) Engineer
Experience in US Healthcare domain
Location: Bangalore / Hyderabad / Chennai / Noida / Visakhapatnam
Shift timing: 12PM IST - 9PM IST
Can join within 30 days
Mode: Hybrid - 3 days office and 2 days work from home
Interested candidates, Please share your profiles and below details to
Email ID:
Total experience:
Relevant Experience:
Current CTC:
Expected CTC:
Notice Period:
If Serving Notice Period, Last working day:
Email ID:
TECHNICAL SKILLS
- 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., HIPAA, GDPR).
- Ability to manage project timelines, prioritize tasks , adapt to changing requirements, and deliver high-quality data solutions on time.
- ADF(Azure Data Factory) Developer-
Primary Skills:
- Azure Data Factory,
- Azure SQL,
- CI/CD Pipelines & Devops,
- Advanced Data Engineering(Cloud and On-premises system),
- Healthcare Domain Experience,
- Communication should be very good.