As a Senior Solution Architect Databricks, you will be a part of an Agile team to design and build healthcare applications and implement new features while adhering to the best coding development standards.
Responsibilities
- Design, develop, and optimize scalable data pipelines and data frameworks on Azure Cloud using Azure Data Lake Storage Gen2 and related Azure services.
- Build and maintain robust ETL/ELT workflows using Azure Databricks and Spark.
- Orchestrate and monitor data pipelines using Apache Airflow.
- Design and implement enterprise data warehouse solutions using advanced dimensional modeling methodologies.
- Develop scalable data ingestion, transformation, and integration solutions for healthcare data.
- Implement CI/CD pipelines and DevOps best practices for data engineering deployments.
- Ensure data quality, reliability, and performance through automated testing, monitoring, and validation frameworks.
- Collaborate with stakeholders to understand data requirements and deliver solutions.
- Work on EHR/EMR data models and healthcare datasets.
- Leverage US Healthcare Provider domain knowledge to design data solutions.
Experience
- 15-18 Years
Location
- Mumbai
- Pune
- Chennai
Educational Qualifications
- Engineering Degree BE/ME/BTech/MTech/BSc/MSc.
- Technical certification in multiple technologies is desirable.
Skills
Mandatory Technical Skills
- Python
- Apache Spark
- ETL/ELT Development
- Data Warehousing
- Dimensional Modeling
- SQL
- CI/CD
- US Healthcare Provider Domain Experience
- Azure Data Lake Storage Gen2 (ADLS)
Positive to Have Skills
- Azure Data Factory (ADF)
- Microsoft Fabric
- Synapse Analytics
- Delta Lake
- HL7/FHIR
- AI/ML exposure
📌 Technical Lead - II_Databricks (Pune)
🏢 CitiusTech
📍 Pune
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