[Hiring] Senior Data Engineer @Global Staffing & Talent Solutions

Role Description

The Data Engineer will design, build, and optimize scalable data pipelines and services that power analytics, AI/ML, and internal applications across the enterprise. This role owns the ingestion, transformation, validation, and delivery of structured, semi-structured, and unstructured data in a cloud-native environment.

The ideal candidate brings strong experience in:

• Building robust ETL/ELT workflows that handle structured, semi-structured, and unstructured data sources at scale.
• Designing data models and ontologies that maximize analytical value and support graph-oriented and downstream application use cases.
• Implementing data validation, cleansing, reconciliation, and integrity checks across ingestion processes to ensure consistent, trustworthy data.
• Developing APIs and data services that expose graph and enterprise data to internal applications and platforms.
• Optimizing queries and data workflows for performance, scalability, and resilience.
• Collaborating with subject matter experts and technical stakeholders to identify, evaluate, and integrate new data sources.
• Maintaining detailed documentation for pipelines, data models, metadata, lineage, and integration processes.
• Monitoring and tuning ETL/ELT processes for efficiency, resilience, and scalability, including alerting for data quality issues.

Qualifications

• Bachelor’s degree or higher in Computer Science, Computer Engineering, Data Science, or a related field.
• 5+ years of professional experience in data engineering, including end-to-end ownership of ETL/ELT pipeline design, development, deployment, and monitoring.
• Practical experience implementing data validation, cleansing, transformation, and reconciliation processes to ensure high-quality, trustworthy datasets.
• Strong programming skills in Python and experience with common data engineering libraries and frameworks such as Pandas, SQLAlchemy, PySpark, and/or Airflow.
• Deep experience with relational (SQL) and NoSQL databases, data warehouse platforms, and schema/model design.
• Experience with data governance, metadata management, and lineage tracking.