
10,000+ employees
Founded 1996
đŒ Consulting
đŁ Marketing
đ„ Healthcare
Consulting âą Marketing âą Healthcare
Nagarro is a global leader in digital engineering and technology consulting. The company helps clients become innovative, digital-first businesses by leveraging technology to drive business breakthroughs. Known for its entrepreneurial agility and CARING mindset, Nagarro offers a wide range of services, including digital engineering, intelligent enterprise solutions, and experience and design services. With over 17,900 employees across 37 countries, Nagarro collaborates with industry leaders to accelerate digitalization and technology-led innovation.
đ„ 0 minutes ago
đ”đ Philippines â Remote
â° Full Time
đĄ Mid-level
đ Senior
âïž Operations
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10,000+ employees
Founded 1996
đŒ Consulting
đŁ Marketing
đ„ Healthcare
Consulting âą Marketing âą Healthcare
Nagarro is a global leader in digital engineering and technology consulting. The company helps clients become innovative, digital-first businesses by leveraging technology to drive business breakthroughs. Known for its entrepreneurial agility and CARING mindset, Nagarro offers a wide range of services, including digital engineering, intelligent enterprise solutions, and experience and design services. With over 17,900 employees across 37 countries, Nagarro collaborates with industry leaders to accelerate digitalization and technology-led innovation.
âą Act as the primary technical liaison between Customer Success and Engineering teams to expedite resolution of complex data-related issues âą Execute the Trace protocol through detailed log-level investigations and data validation within Databricks âą Analyze and reconcile data discrepancies across media platforms, DSPs, and internal systems âą Validate client configurations, integrations, and platform setups âą Execute engineering-defined runbooks for data reprocessing, synchronization, and recovery âą Perform root cause analysis of data anomalies and provide actionable findings âą Monitor data flows, pipelines, and synchronization processes for accuracy and completeness âą Create contextualized defect packages with logs, analysis results, reproduction steps, and evidence âą Triage and classify technical issues and route them to appropriate engineering teams or technical pods âą Collaborate with Engineering, Product, and Customer Success to reduce Time-to-Resolution and improve customer experience âą Develop and enhance troubleshooting documentation, runbooks, and knowledge base articles âą Identify recurring data quality issues and recommend process improvements, automation, and preventive measures âą Support incident investigations and post-mortem activities with detailed data analysis and technical insights âą Serve as a technical subject matter expert in data reconciliation, system diagnostics, and operational troubleshooting
âą Strong SQL skills, with the ability to query, analyze, validate, and reconcile complex datasets âą Hands-on experience with Databricks for data investigation, validation, and troubleshooting âą Understanding of data warehousing concepts, data flows, and ETL processes âą Ability to investigate data discrepancies, analyze logs, identify anomalies, and perform root cause analysis âą Experience with data validation, reconciliation, and troubleshooting across multiple systems or platforms âą Ability to analyze technical issues, document findings, and prepare clear, evidence-based defect reports for engineering teams âą Strong analytical and problem-solving skills, with attention to detail and a focus on data accuracy âą Effective communication and collaboration skills to work with cross-functional teams, including Engineering, Product, and Customer Success âą Ability to follow technical procedures and runbooks, manage escalations, and support incident investigations âą Good documentation skills, with the ability to develop and maintain troubleshooting guides, runbooks, and knowledge base articles âą Experience with data warehouse design and architecture âą Familiarity with ETL processes, data pipeline monitoring, and data synchronization âą Experience with data reprocessing, recovery procedures, or production incident troubleshooting âą Exposure to media platforms, demand-side platforms (DSPs), or integrations across multiple data systems
âą Employees can work remotely
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