- Design and develop data integration solutions using Data Build Tool (DBT) and Azure Data Factory (ADF) ETL tools.
- Create DBT models, and maintain dependencies across the models.
- Build and maintain CI/CD pipeline for DBT deployments.
- Write custom test scripts, and implement various hooks techniques.
- Integrate various sources using Snow Pipe (GCP, AWS, Azure).
- Analyze and validate data in Snowflake warehouse.
- Build Metric model at Semantic layer.
- Work with complex SQL functions and enable transformation of data on large data sets in Snowflake.
- Design and implement data models, develop pipelines for incremental data updates and historical data capture, optimize performance, ensure data quality, and collaborate with team members to support the data needs.
- Collaborate with cross-functional teams to understand business requirements, and design effective Cloud migration solutions.
- Perform data validation, testing, and troubleshooting during and after migration to ensure data integrity and quality.
- 5- 8 Years
- Bangalore
- Pune
- Mumbai
- Chennai
- Engineering Degree – BE/ME/BTech/MTech/BSc/MSc.
- Technical certification in multiple technologies is desirable.
- Dbt
- Snowflake
- DevOps
- Strong verbal and written communication skills along with problem solving skills
- ETL/ELT
- Azure Data Factory
- Cloud Migration experience
- US Healthcare
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Description
As an Technical Lead – Data Built Tool, you will be a part of an Agile team to build healthcare applications and implement new features while adhering to the best coding development standards
Responsibilities: -
Experience:
Location:
Educational Qualifications:
Skills:
Mandatory Technical Skills:-
Good to have skills:-
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