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Position: Data Engineer (Databricks Admin) Location: Nagpur, Pune Type of Employment: Full-Time Purpose of the Position: Design, develop, support, and drive comprehensive data engineering solutions using Databricks InfoCepts is a global leader of end-to-end data and analytics solutions with nearly 20 years' experience enabling customers to derive value from a variety of data-driven capabilities. Unique among its peers, InfoCepts operates with the scale of a global consulting firm, yet the expertise of a niche partner. Key Result Areas and Activities: Implement enhancements, monitor performance, troubleshoot issues, and deliver continuous support for Databricks jobs in the production environment and perform access management, cluster management for the same Conduct unit testing, integration testing, and troubleshooting of ETL processes to ensure data accuracy and reliability Manage deployment of Databricks ETL processes from development to production Respond to incidents reported by users or monitoring tools, ensuring swift resolution to minimize downtime Maintain detailed logs of incidents, resolutions, and troubleshooting steps for knowledge sharing and future reference Candidate needs to work in rotational shifts (including on-call, morning, afternoon, night and weekends shift) proving round the clock support for keeping the environments running and performing at optimal levels Position: Data Engineer (Databricks Admin) Location: Nagpur, Pune Type of Employment: Full-Time Purpose of the Position: Design, develop, support, and drive comprehensive data engineering solutions using Databricks InfoCepts is a global leader of end-to-end data and analytics solutions with nearly 20 years' experience enabling customers to derive value from a variety of data-driven capabilities. Unique among its peers, InfoCepts operates with the scale of a global consulting firm, yet the expertise of a niche partner. Key Result Areas and Activities: Implement enhancements, monitor performance, troubleshoot issues, and deliver continuous support for Databricks jobs in the production environment and perform access management, cluster management for the same Conduct unit testing, integration testing, and troubleshooting of ETL processes to ensure data accuracy and reliability Manage deployment of Databricks ETL processes from development to production Respond to incidents reported by users or monitoring tools, ensuring swift resolution to minimize downtime Maintain detailed logs of incidents, resolutions, and troubleshooting steps for knowledge sharing and future reference Candidate needs to work in rotational shifts (including on-call, morning, afternoon, night and weekends shift) proving round the clock support for keeping the environments running and performing at optimal levels
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