We are seeking experienced Data Engineers with strong expertise in Google Cloud Platform (Google Cloud Platform) to design, develop, and maintain scalable data pipelines and modern cloud-based data platforms. The ideal candidate should have hands-on experience with BigQuery, Apache Airflow, SQL, DBT (Data Build Tool), and Google Cloud Platform services.
< data-start=620 data-end=640>Required Skills
- 5+ years (Developer) / 6–10 years (Lead) of Data Engineering experience.
- Strong hands-on experience with Google Cloud Platform (Google Cloud Platform).
- Expertise in BigQuery for data warehousing and analytics.
- Experience developing and maintaining workflows using Apache Airflow.
- Advanced SQL skills for complex queries and performance optimization.
- Hands-on experience with DBT (Data Build Tool) for data transformation.
- Experience building scalable ETL/ELT pipelines.
- Knowledge of data modeling, data warehousing, and dimensional modeling.
- Experience with Git and CI/CD practices.
- Strong debugging, optimization, and performance tuning skills.
< data-start=1310 data-end=1331>Preferred Skills
- Python for data engineering and automation.
- Experience with Cloud Composer, Cloud Storage, Pub/Sub, or Dataflow.
- Familiarity with Agile/Scrum methodologies.
- Excellent communication and collaboration skills.
< data-start=1548 data-end=1569>Responsibilities
- Design, develop, and optimize cloud-native data pipelines on Google Cloud Platform.
- Build and maintain ELT workflows using DBT and Airflow.
- Develop scalable data models in BigQuery.
- Optimize SQL queries and improve data processing performance.
- Collaborate with analytics, BI, and application teams to deliver high-quality data solutions.
- Monitor, troubleshoot, and enhance production data pipelines.
- Mentor junior engineers (Lead role).
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