Data engineer (Azure)

Requirements

• Bachelor's Degree in Computer Science or Engineering with 2 years of experience in Azure Data engineering, Python, Pyspark or Big Data development.
• Sound Knowledge of Azure Synapse analytics for pipelines, orchestration, set up.
• 1-2 experience in Visualization design and development with Power BI. Knowledge on row-level security, access control.
• Sound experience in SQL, Datawarehouse, data marts, data ingestion with Pyspark and Python.
• Expertise in developing and maintaining ETL processing pipelines in cloud-based platforms such as AWS, Azure, etc. (Azure Synapse or data factory preferred)
• Team player with good interpersonal, communication, and problem-solving skills.
• Preferred to have Devops expertise.
• Working hours :
• 8:30am to 6pm (Monday to Friday) onsite, no hybrid option.

Additional Information

Candidates without prior experience are welcome to apply as on the job training would be provided. Data engineer (Azure) - Synapse and Pyspark, Python, Datawarehouse and Azure Data Explorer, Azure Devops Job Scope - Design, review and development of Pyspark scripts. Testing, troubleshooting of data pipelines, orchestration. - Designing and developing reports and dashboards in PowerBI,setting up access control with row level security DAX query experience. - Establishing connections to source data systems such as on-prem databases, IOT devices, APIs. - Managing the collected data in appropriate storage/data-base solutions e.g. file systems, SQL servers, Big Data platforms such as Hadoop, HANA, etc. as required by the specific project requirements. - Design, development of relevant data pipelines using pyspark, copy data activities for batch ingestion. - Performing data integration e.g. using database table joins, or other mechanisms at an appropriate level as required by the analysis requirements of the project. - Deployment of pipeline artifacts from one environment to the other using Azure Devops.

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Company Intel

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