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Ryte.ai — Senior Data Engineer
2.500 to 4.500 USD per month
Astana / OfficeML
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Senior Data Engineer
Ryte.ai
2.500 to 4.500 USD per month
Astana / Office
Canada based company developing a product in healthcare domain based on gathering and analyzing Big Data using AI models
Responsibilities:
• Identify, design, and implement working practices across data pipelines, data architectures, testing and deployment
• Understand complex business requirements and providing solutions to business problems
• Understand modern data architecture approach including event-driven, data streaming and data mesh
• Defining data engineering best practice and sharing across the organization
Requirements:
• 4+ years experience as a Data Engineer
• Experience in designing & Implementing data pipelines, ETL/ELT processes
• Knowledge of Data Modelling, and DWH development principals
• Good knowledge of SQL and PL/SQL
• Strong knowledge of Python language to work with data
• Knowledge of PySpark/Spark SQL essentials
• Understanding the working principals of at least one orchestrator (Airflow, Oozie, etc., ADF is preferable)
• Highly proficient in spoken and written English
Optional:
• Experience using the Microsoft Azure Data Stack (ADFv2, Azure SQL DB, Synapse Analytics, Azure Data Lake, Azure Databricks, Cosmos DB)
• CI/CD, Azure DevOps experience
• Linux and bash scripting
Contacts:
@i_am_dana
Ryte.ai
2.500 to 4.500 USD per month
Astana / Office
Canada based company developing a product in healthcare domain based on gathering and analyzing Big Data using AI models
Responsibilities:
• Identify, design, and implement working practices across data pipelines, data architectures, testing and deployment
• Understand complex business requirements and providing solutions to business problems
• Understand modern data architecture approach including event-driven, data streaming and data mesh
• Defining data engineering best practice and sharing across the organization
Requirements:
• 4+ years experience as a Data Engineer
• Experience in designing & Implementing data pipelines, ETL/ELT processes
• Knowledge of Data Modelling, and DWH development principals
• Good knowledge of SQL and PL/SQL
• Strong knowledge of Python language to work with data
• Knowledge of PySpark/Spark SQL essentials
• Understanding the working principals of at least one orchestrator (Airflow, Oozie, etc., ADF is preferable)
• Highly proficient in spoken and written English
Optional:
• Experience using the Microsoft Azure Data Stack (ADFv2, Azure SQL DB, Synapse Analytics, Azure Data Lake, Azure Databricks, Cosmos DB)
• CI/CD, Azure DevOps experience
• Linux and bash scripting
Contacts:
@i_am_dana
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