Overview
On Site
Depends on Experience
Contract - W2
Contract - 12 Month(s)
No Travel Required
Skills
Data Warehouse
Data Engineering
Data integration architecture
ETL / ELT tool
Cloud data lake (ex: Snowflake)
Data handling (PII
HIPAA)
Job Details
Job Description: Responsibilities:
- Develop data integration strategy, architecture, and roadmap (ex: batch vs real-time, API vs ETL)
- Maintain documentation for data flows, mappings, and transformation logic for all workloads.
- Ensure performance, scalability, and reliability of data movement processes.
- Implement data validation, cleansing, and reconciliation processes.
- Optimize data workflows for performance, scalability, and reliability.
- Enforce data integration standards and best practices.
- Develop data pipelines for internal, external data from wide variety of data sources. 8. Develop API based integrations, data sharing and data transformations.
- Build data integration monitoring systems, logs, error and exceptions handling and alerts.
- Ensure integration processes comply with data governance, security, and regulatory needs.
- Strong communication, presentation skills, ability to work with business is required.
Minimum Requirements & Qualifications (8+ years):
- Data Warehouse
- Data Engineering
- Data integration architecture
- ETL / ELT tool
- SQL Server or other RDBMS
- Developing Data pipelines
- Implementing Data quality framework, QA/QC
- SSIS
- Cloud data lake (ex: Snowflake)
- BI tools (ex: Power BI)
- API ( EX. Mulesoft)
- Real time pipelines Kafka, Python
- Data Lake house architecture
- Data handling (PII, HIPAA)
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