Chennai, Tamil Nadu
Job Summary
To partner with business and technology stakeholders to translate data-driven opportunities into actionable solutions, enabling improved decision-making and measurable business outcomes. Drives adoption of data-led practices by aligning analytical insights with strategic priorities.
Key Responsibilities
1.Work with stakeholders to identify business problems and define data-driven solution approaches
2. Translate business requirements into analytical models, metrics, and data use-cases
3. Perform exploratory data analysis and generate actionable insights for decision-making
4. Drive storytelling through dashboards, visualisations, and executive-ready insights
5. Collaborate with engineering teams to ensure data availability, quality, and usability
6. Recommend data strategy improvements aligned to business goals
7. Support implementation of analytics solutions and monitor business impact
8. Enable business users through training, data literacy, and advisory support
9. Ensure alignment with enterprise data standards and governance policies
Skill Requirements
We are seeking a highly skilled Technical Consultant with expertise in Azure Data Engineering, Healthcare Data Integration, Analytics, and Reporting to support digital health and medical device initiatives
This role requires strong technical expertise in Azure Data Services, healthcare interoperability standards, database technologies, data quality management, and analytics platforms , along with the ability to work collaboratively with clinical, engineering, and business stakeholders to generate actionable insights from healthcare data.
The first activity is data cleaning so candidate should be skilled to do below activities and eventually build pipelines and do analytics work using power BI
Data Cleansing & Quality Management
Perform data cleansing and transformation on patient and device datasets.
Identify and resolve:
Missing values
Duplicate records
Data inconsistencies
Outliers and anomalies
Standardize healthcare data formats including:
Patient identifiers
Device telemetry readings
Clinical observations
Timestamp normalization
Implement data profiling, validation, and auditing processes.
Create automated data quality frameworks and validation checks within Azure pipelines.
Maintain data lineage, metadata, and audit documentation to support regulatory compliance.
Ensure adherence to:
HIPAA
FDA data traceability requirements
HL7 and FHIR standards
Internal data governance policies
Below technologies' person should be having experience if not expertise. if it calls for two people one for Data cleaning & data ingestion and one for power BI . that is also fine
Azure Data Engineering
Azure Data Factory (ADF)
Azure Synapse Analytics
Azure Data Lake Storage Gen2
Azure SQL Database
Azure Cosmos DB
Databases & Query Languages
SQL (Advanced)
T-SQL
Azure SQL
PostgreSQL (preferred)
Cosmos DB Query Language
Data Engineering & ETL
ETL/ELT Design and Development
Data Modeling
Data Warehousing
Data Transformation
Data Validation & Reconciliation
Data Lineage and Governance
Analytics & Reporting
Power BI
Power Query
Excel Advanced Analytics
Data Visualization Best Practices
KPI Dashboard Development
Programming & Scripting
Python
PySpark
SQL
PowerShell (preferred)
Azure Data Engineering Scripts
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