Data Integration Engineer - INTL- India

Job Description Key Responsibilities

• Design, build, and maintain API-based data extraction from Cisco DNA Center across multiple regions and controllers.
• Replace manual DNAC export processes with automated, scheduled, and monitored data collection.
• Normalize and structure raw network data into clean, analytics-ready datasets, including:
• Land curated DNAC datasets into Azure Data Lake Storage (ADLS) in formats optimized for analytics.
• Validate extracted DNAC data against Intune device data and HR records; identify and resolve mismatches.
• Troubleshoot missing data, duplicate records, drift in DNAC schemas, and inconsistent site metadata. Pipeline & Analytics-Ready Model
• Build and maintain end-to-end pipelines that ingest from Cisco DNAC, Microsoft Intune, and HR systems.
• Transform and normalize datasets across systems into a consistent presence data model.
• Automate ingestion and refresh with reliable scheduling, monitoring, and alerting.
• Prepare analytics-ready datasets optimized for Power BI consumption (semantic clarity, performance, governance).
• Implement data quality, validation, and reconciliation checks across all sources and transformations. Cross-Functional Ownership
• Operate as the technical owner of the data layer end-to-end — ingest through publish.
• Partner daily / weekly with Network Engineering, Data Engineering, Workplace Analytics & Reporting, and HR / Intune teams We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day.

We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

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https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements

•  8+ years of production data engineering with hands-on API integration; 2+ years specifically with Cisco DNAC APIs and Wi-Fi telemetry.
•  Cisco DNA Center APIs — demonstrated, hands-on production experience with Intent / Platform APIs.
•  Wi-Fi client telemetry
•  REST APIs
•  Production-level Python — pandas and modern data transformation patterns
•  End-to-end pipeline ownership — (ingest → transform → publish) with scheduling, monitoring, and alerting.
•  Cloud storage — hands-on with Azure Data Lake Storage (ADLS) preferred
•  Databricks or Apache Spark for scalable transformations — strongly preferred.
•  Strong SQL & data modeling fundamentals; joining heterogeneous datasets.
•  Comfort with structured and semi-structured data (JSON, Parquet, CSV).