Data Engineer Support [T500-20572]

About Inspire Brands :

Inspire Brands is disrupting the restaurant industry through digital transformation and operational efficiencies. The company’s technology hub, Inspire Brands Hyderabad Support Center, India, will lead technology innovation and product development for the organization and its portfolio of distinct brands. The Inspire Brands Hyderabad Support Center will focus on developing new capabilities in data science, data analytics, eCommerce, automation, cloud computing, and information security to accelerate the company’s business strategy. Inspire Brands Hyderabad Support Center will also host an innovation lab and collaborate with start-ups to develop solutions for productivity optimization, workforce management, loyalty management, payments systems, and more.

Job Description :

We are seeking a skilled and motivated Data Engineering Support Analyst to join our team. As a Data Engineering Support Analyst, you will play a crucial role in ensuring the smooth operation and support of our data engineering. Your primary responsibility will be to provide monitoring, and technical assistance, troubleshoot issues, and maintain the reliability and efficiency of our data systems.

Responsibilities :

• Provide L1 / L2 support and maintenance for the data engineering platform.
• Monitor Jobs, troubleshoot failures, and provide the fix to failed jobs.
• Ensure data availability SLA is met.
• Resolve data quality issues by reloading the data into production environments.
• Proactively identify areas for improvement.
• Collaborate with data engineers and other teams to diagnose and resolve technical issues.
• Troubleshoot data-related problems, including data quality issues and job failures.
• Implement and maintain data pipelines, ensuring their reliability and efficiency.
• Assist in the development and optimization of data processing workflows.
• Document processes, procedures, and troubleshooting steps for reference and training purposes.
• Collaborate with cross-functional teams to ensure data infrastructure meets business needs.
• Stay updated with industry trends and best practices in data engineering and support.

Requirements :