IT engineer Data Engineering job opportunity at Continental.

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Date2025-11-03T12:42:44.131Z bot
Continental IT engineer Data Engineering
Experience: General
Pattern: Full-time
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degreeGeneral
loacation Electronic City Road, Bengaluru, Karnataka, India
loacation Electronic Cit..........India
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Job Description* Design, implement, and maintain secure and scalable data ingestion pipelines from a wide variety of source systems, including SAP, SalesForce, SharePoint, APIs, and (legacy) manufacturing platforms. * Build and enhance metadata-driven services that enable discoverability, access governance, and operational transparency of enterprise data. * Serve as a technical expert and cross-functional enabler for structured and unstructured data acquisition, quality, and compliance. * Establish and maintain holistic data quality management, monitoring and reporting. * Contributes to a global data engineering team delivering to all major business domains. * Drives ingestion and metadata service implementation for over 100 enterprise data sources. * Collaborates across business IT, cybersecurity, infrastructure, and architecture teams to ensure secure and sustainable delivery. Main Tasks: ▪ Build and maintain Python- or Scala-based extraction services (e.g., Debezium Server, custom APIs, rclone) • Implement CDC, delta, and event-based patterns. • Push-based HTTP, Kerberos-authenticated DLT delivery.• Establish, operate and troubleshoot extraction from SAP using tools like Theobald Extract Universal.o • Integrate with systems such as Salesforce, SharePoint, and other API- or file-based endpoints.   ▪ Establish and maintain a business-friendly, web-accessible data catalog application, with dataset profiles, metadata, and usability features. ▪ Integrate dataset discoverability, preview/exploration options, and lineage information using Unity Catalog as a backend metadata system. ▪ Design and implement structured access request workflows including request submission, approval chains, audit trail, and enablement triggers.• Perform design reviews with Cybersecurity. • Ensure documentation and compliance for all interfaces and data ingress points. • Manage audit and traceability requirements.      • Collaborate closely with IT and business users to translate requirements into scalable technical patterns. • Serve as technical escalation point for complex source integration.  ▪ Define and implement a multi-layered data quality framework, including unit-level, integration-level, and cross-pipeline validation rules. ▪ Establish centralized and version-controlled storage of DQ rules, with integration into orchestration and CI/CD pipelines. ▪ Implement automatic DQ monitoring with severity levels (Critical, High, Medium, Low) and enable flagging, filtering, and quarantining logic at relevant stages of the pipeline. ▪ Collaborate with source system owners and business stakeholders to define meaningful and actionable DQ thresholds.  

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