Data Engineer

About Inspire Brands Hyderabad Support Center 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 About Inspire Brands Inspire Brands is disrupting the restaurant industry through digital transformation and operational efficiencies The companys 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 companys 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 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 Bachelor s degree in computer science Information Technology or a related field Experience of 2-3 years in delivering operational support for Data Platforms Proven experience in data engineering data analysis or a similar role Strong knowledge of Snowflake SNOWSQL and Databricks Proficiency in scripting or programming languages Scala Pi-spark Familiarity with data warehousing concepts and technologies Experience with data pipeline tools Azure Data Factory Databricks SNOWSQL Excellent problem-solving skills and attention to detail Ability to work independently and collaborate effectively in a team environment Strong communication skills to convey technical concepts to non-technical stakeholders Flexible availability for weekend and public holiday coverage on a rotational schedule Adaptability and willingness to learn new technologies and methodologies