Data Integration Engineer - Azure
February 13
Description
• Set up data ingestion pipelines from diverse data origins utilizing Azure Data Factory, Azure Databricks, and other ETL tools • Develop scalable, reusable, and user-friendly frameworks for data ingestion and processing • Architect, construct, and administer SQL Server databases within the Azure cloud environment • Perform data modeling tasks and integrate data from various systems • Evaluate and implement best practices for effective data manipulation • Construct and maintain Azure Data Factory pipelines • Integrate end-to-end data pipelines to seamlessly transfer data from its source to designated repositories, ensuring quality and consistency • Engage with customers to provide technical insights and assist with data interpretation • Operate both independently and collaboratively in a team-oriented, cross-functional, and culturally diverse setting
Requirements
• Over 3 years of hands-on experience in Azure development • Proficient comprehension and practical application of GIT • Sound familiarity with Microsoft ETL tools including Azure Databricks, Azure Data Factory, Data Lake, and SSIS • Extensive experience handling both structured and unstructured data • Proficiency in utilizing ARM templates • Familiarity with working with JSON • Solid understanding of Azure DevOps or Jira • Exceptional command of English language, both spoken and written • Capable of collaborating effectively within a team dynamic, while also demonstrating autonomy and strong ownership over assigned responsibilities
Benefits
• End-to-end data services partner to global brands and enterprises • Opportunity to work with diverse data origins and ETL tools • Scalable, reusable, and user-friendly frameworks for data ingestion and processing • Architecting and administering SQL Server databases within Azure cloud • Integration of end-to-end data pipelines • Engaging with customers to provide technical insights • Operating in a team-oriented, cross-functional, and culturally diverse setting
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