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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 workplace 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 workplace 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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