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Popular mid-level data engineer role with metro location and broad skills, increasing candidate density.
Data engineering skills (ETL, SQL, Python, cloud) are broadly transferable across industries.
Explicit 3-5 years requirement and mandatory core data engineering skills filter candidates.
Build and maintain data pipelines and data processing workflows for analytics and AI use cases within the Test RTO 2 project.
Translate stakeholder requirements into reliable and operational data solutions ensuring data quality and consistency.
Collaborate with team members to support project execution and ensure timely delivery of data engineering assets.
3-5 years of work experience in data engineering.
Proficiency in ETL/ELT pipeline development, SQL, Python, data modeling, and data quality validation.
Bachelor's degree in Computer Science, Engineering, Data Science, or equivalent practical experience.
Experience with cloud-based data platforms (AWS or Azure preferred).
Experienced in building and supporting AI/ML data preparation workflows and cloud data services.
Comfortable working in a project-driven environment with multiple stakeholders to deliver operational data assets.
Familiarity with Apache Spark, Airflow, Databricks, and AI-focused data engineering tools and platforms.