As an Sr Data Engineer 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: -
- Primary function: Build and maintain reliable scalable data pipelines
- Common data clouds (AWS Azure Snowflake)
- Data processing (Spark distributed systems etc)
- APIs/ingestions (REST streaming etc)
- Performance optimization
- Schema understanding and evolution
Experience: -
12 Years
Location: - USA
Remote
Educational Qualifications: -
- Engineering Degree BE/ME/BTech/MTech/BSc/MSc.
- Technical certification in multiple technologies is desirable.
Technical Skills: -
Python
SQL
Airflow or other orchestration tools
Business skills
- Business domain knowledge
- Understanding SLAs
- Collaboration with analytics product and business teams
- Cost awareness and optimization
Specific technologies to be used: -
- Experience in working on CI/CD Pipelines using GitLab.
- Snowflake.
- Azure Data Factory.
- SQL Server.
As an Sr Data Engineer 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: - Primary function: Build and maintain reliable scalable data pipelines Common data clouds (AWS Az...
As an Sr Data Engineer 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: -
- Primary function: Build and maintain reliable scalable data pipelines
- Common data clouds (AWS Azure Snowflake)
- Data processing (Spark distributed systems etc)
- APIs/ingestions (REST streaming etc)
- Performance optimization
- Schema understanding and evolution
Experience: -
12 Years
Location: - USA
Remote
Educational Qualifications: -
- Engineering Degree BE/ME/BTech/MTech/BSc/MSc.
- Technical certification in multiple technologies is desirable.
Technical Skills: -
Python
SQL
Airflow or other orchestration tools
Business skills
- Business domain knowledge
- Understanding SLAs
- Collaboration with analytics product and business teams
- Cost awareness and optimization
Specific technologies to be used: -
- Experience in working on CI/CD Pipelines using GitLab.
- Snowflake.
- Azure Data Factory.
- SQL Server.
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