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Mid-level, generalist Data Engineer in metro with common skills increases applicant competition.
Core data engineering and cloud skills are highly transferable across industries.
Multiple mandatory GCP, BigQuery, Airflow, DBT, Terraform, and Python requirements enforce strict technical filters.
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Design, build, and maintain reliable data pipelines and backend services that support pricing processes across multiple countries.
Ensure pricing data is accurately ingested, transformed, validated, stored, and monitored using GCP cloud technologies including BigQuery, Cloud Composer (Airflow), and DBT.
Collaborate with product owners, engineers, and analysts to translate business needs into scalable, operational data solutions and continuously improve data reliability and performance.
Strong programming skills in Python with experience in data processing or backend services.
Proficient in SQL and BigQuery, with hands-on experience in GCP data services including ingestion, storage, transformation, and orchestration tools (Cloud Composer/Airflow) along with DBT.
Experience with containerization, CI/CD pipelines, production monitoring, Git version control, and infrastructure as code using Terraform.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in building and operating scalable, reliable data pipelines and backend services in cloud environments (specifically GCP).
Comfortable working autonomously within agile cross-functional squads and collaborating directly with country representatives and stakeholders to align delivery with business priorities.
Skilled in ensuring data quality, observability, and operational reliability with a proactive ownership mindset focused on continuous improvements.