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Mid-senior data/integration role at a known brand with hybrid work and generalist skills, moderate competition.
Core data engineering skills transfer across industries, though connector and multi-tenant experience favors analytics/SaaS firms.
Explicit 6–9 years plus mandatory connector/ETL/API and schema-versioning experience increases strictness.
Design, build, version, and maintain reusable connectors linking client data sources to NIQ's measurement pipelines with high reliability.
Manage connector lifecycle including tracking API changes, schema drift, backward-compatible updates, and deprecation.
Build and monitor production data pipelines and instrument logs, metrics, and alerts to ensure client pipeline health and proactive issue detection.
6–9 years of experience in data/integration engineering, connector development, or backend engineering with extensive third-party API work.
Strong Python programming skills and SQL for data validation and transformation.
Experience with REST API integration including authentication, pagination, rate-limiting, and schema handling.
Bachelor's degree in Computer Science, Engineering, Data Science, or equivalent professional experience.
Experienced in production-scale ETL/orchestration tools (e.g., Airflow, dbt) and version control with Git for multi-client connectors.
Skilled in building observability and reliability tooling (logs, metrics, alerts) to maintain production health.
Familiar with Docker for packaging connectors and comfortable managing connector lifecycle in a complex, multi-tenant environment.