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Spaitinfotech

Azure Data Engineer

Spaitinfotech, Austin, Texas, us, 78716

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Spait Infotech Description

We are seeking a talented Azure Data Engineer to design, build, and maintain scalable data infrastructure in Microsoft Azure. The ideal candidate will have deep expertise in Azure Data Services and hands-on experience building data pipelines, transforming datasets, and enabling business insights. Join us to work on cutting-edge cloud data projects across various industries. Austin, TX, USA

58 days ago

Description

We are seeking a talented Azure Data Engineer to design, build, and maintain scalable data infrastructure in Microsoft Azure. The ideal candidate will have deep expertise in Azure Data Services and hands-on experience building data pipelines, transforming datasets, and enabling business insights. Join us to work on cutting-edge cloud data projects across various industries.

Requirements

Bachelor’s Degree in Computer Science, Information Systems, or a related field. 3+ years of experience in data engineering, with a focus on Azure technologies. Proficient in Azure Data Factory, Synapse Analytics, Databricks, Azure SQL DB, and Azure Data Lake. Strong programming skills in SQL, Python, or Scala. Experience with big data tools like Spark or Hive. Familiar with Azure DevOps, CI/CD pipelines, and infrastructure-as-code (e.g., ARM/Bicep). Understanding of data modeling, data governance, and data security. Excellent communication, analytical, and problem-solving skills.

Bonuses

Performance-based annual/quarterly bonuses. Employee referral bonus program. Signing bonus (for eligible candidates).

Benefits

Medical, Dental, and Vision Insurance. 401(k) with employer match. Generous PTO, Holidays, and Sick Leave. Remote work flexibility. Ongoing learning and certification support. Relocation assistance (if applicable).

Responsibilities

Design and implement robust data pipelines using Azure Data Factory, Synapse Analytics, and Databricks. Develop, manage, and optimize ETL/ELT processes for structured and unstructured data. Work closely with data analysts, architects, and business stakeholders to understand data requirements. Ensure high data quality, integrity, and governance. Implement data lake and data warehouse solutions in Azure. Optimize performance and cost of data storage and compute resources. Develop CI/CD pipelines for data workflows using tools like Azure DevOps. Monitor, troubleshoot, and resolve issues related to data pipeline performance and availability.

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Seniority level Mid-Senior level Employment type

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