Azure Data Factory (ADF) Engineer - US Healthcare domain - Hybrid Mode

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 : Kavitha.Rajendran@infinite.com

Total experience :

Relevant Experience :

Current CTC :

Expected CTC :

Notice Period :

If Serving Notice Period, Last working day :

Email ID : Kavitha.Rajendran@infinite.com

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.