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"DataEngineer (Azure Data bricks)" Jobs in India

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Data QA Engineer

Luxoft · Pune

MidFull-timeOnsite

Project description The ETL/Data QA Engineer will be responsible for ensuring the accuracy, reliability, and quality of data processed through the organisation's data warehousing and integration platforms. Operating with

Skills

• 5+ years’ experience in data automation using Python, PySpark. • Hands on experience in building customized Automation framework using Python, PySpark and SQL. • Extensive experience with ETL concepts & technologies, Data migration testing, Data warehouse testing, and BI Reporting. • Hands on experience in working with CSV and JSON using PySpark. • High level of Proficiency in writing complex SQL queries in Azure data bricks from Business requirements to read data from source DB hosted in Azure and compare it with the target DB. • Proficiency in relational database models, SQL queries, XML data models. • Extensive experience with software test automation tools and working in fast-paced Agile environments. • Experience with Azure Data Factory for pipeline execution and analysis. • Experience with Azure Databricks to access data from Azure Data Lakes. • Experience with Azure Notebooks • Experience with Cosmos DB • Experience in understanding in version control, CI/CD solutions using tools such as Azure DevOps. • Experience in the Banking domain is highly desirable • Bachelor's Degree in IT, Business, Computer Science, or a related field • Good knowledge of testing lifecycle processes • Experience with Atlassian tools (Jira and Confluence) • Good communication and presentation skills

Discovered 2 days ago

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Data QA Engineer

Luxoft · Hyderabad

MidFull-timeOnsite

Project description The ETL/Data QA Engineer will be responsible for ensuring the accuracy, reliability, and quality of data processed through the organisation's data warehousing and integration platforms. Operating with

Skills

• 5+ years’ experience in data automation using Python, PySpark. • Hands on experience in building customized Automation framework using Python, PySpark and SQL. • Extensive experience with ETL concepts & technologies, Data migration testing, Data warehouse testing, and BI Reporting. • Hands on experience in working with CSV and JSON using PySpark. • High level of Proficiency in writing complex SQL queries in Azure data bricks from Business requirements to read data from source DB hosted in Azure and compare it with the target DB. • Proficiency in relational database models, SQL queries, XML data models. • Extensive experience with software test automation tools and working in fast-paced Agile environments. • Experience with Azure Data Factory for pipeline execution and analysis. • Experience with Azure Databricks to access data from Azure Data Lakes. • Experience with Azure Notebooks • Experience with Cosmos DB • Experience in understanding in version control, CI/CD solutions using tools such as Azure DevOps. • Experience in the Banking domain is highly desirable • Bachelor's Degree in IT, Business, Computer Science, or a related field • Good knowledge of testing lifecycle processes • Experience with Atlassian tools (Jira and Confluence) • Good communication and presentation skills

Discovered 2 days ago

Apply

Data QA Engineer

Luxoft · Bengaluru

MidFull-timeOnsite

Project description The ETL/Data QA Engineer will be responsible for ensuring the accuracy, reliability, and quality of data processed through the organisation's data warehousing and integration platforms. Operating with

Skills

• 5+ years’ experience in data automation using Python, PySpark. • Hands on experience in building customized Automation framework using Python, PySpark and SQL. • Extensive experience with ETL concepts & technologies, Data migration testing, Data warehouse testing, and BI Reporting. • Hands on experience in working with CSV and JSON using PySpark. • High level of Proficiency in writing complex SQL queries in Azure data bricks from Business requirements to read data from source DB hosted in Azure and compare it with the target DB. • Proficiency in relational database models, SQL queries, XML data models. • Extensive experience with software test automation tools and working in fast-paced Agile environments. • Experience with Azure Data Factory for pipeline execution and analysis. • Experience with Azure Databricks to access data from Azure Data Lakes. • Experience with Azure Notebooks • Experience with Cosmos DB • Experience in understanding in version control, CI/CD solutions using tools such as Azure DevOps. • Experience in the Banking domain is highly desirable • Bachelor's Degree in IT, Business, Computer Science, or a related field • Good knowledge of testing lifecycle processes • Experience with Atlassian tools (Jira and Confluence) • Good communication and presentation skills

Discovered 2 days ago

Apply

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