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Implementation Engineer

Keychain

Gurgaon, Haryana, IndiaJobPosted 3w agoStill listed 3 days ago

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At a glance

Compensation
No compensation found
Location
Gurgaon, Haryana, India
Work Authorization
Not specified

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Job overview

The Implementation Engineer develops and supports data-driven solutions using Python and SQL, builds and maintains data pipelines, monitors production systems, performs root cause analysis, and ensures data quality. They manage client onboarding, act as a technical point of contact, troubleshoot data and integration issues, collaborate with cross‑functional teams, create documentation, and automate operational tasks to enhance efficiency and customer satisfaction.

Skills & qualifications

RequiredNice to have

Skills

Data DrivenDatabasesPythonData ProcessingData EngineeringCustomer OnboardingTroubleshootingProduction SupportRoot Cause AnalysisCustomer SatisfactionOnboardingScriptingSQLPython ProgrammingSQL QueryingData Pipeline DevelopmentData Pipeline MonitoringData Quality CommunicationClient OnboardingTechnical Customer SupportDocumentation CreationAutomation Scripting

Full job description

Responsibilities:

  • Develop and support data-driven solutions using Python and SQL for enterprise customers.
  • Build, maintain, and troubleshoot data pipelines, database queries, and integrations to ensure accurate and timely data processing.
  • Monitor data pipelines and production systems to proactively identify data gaps, anomalies, and discrepancies.
  • Analyse data using SQL and Python scripts to investigate issues and perform Root Cause Analysis (RCA).
  • Identify and communicate data quality issues to the Operations and internal technical teams for timely resolution.
  • Manage client onboarding and implementation, understanding customer requirements and configuring solutions accordingly.
  • Act as a technical point of contact for customers during implementation, onboarding, and production support.
  • Troubleshoot customer issues related to data, APIs, databases, integrations, and workflows.
  • Work closely with Customer Success, Operations, and Engineering teams to resolve customer-impacting issues.
  • Proactively monitor customer environments and ensure smooth system operations and a positive customer experience.
  • Create technical documentation, troubleshooting guides, and process documentation for recurring issues.
  • Automate repetitive operational and monitoring tasks using Python scripting to improve efficiency and reduce manual effort.

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