Data Engineer

We are seeking a motivated Data Engineer with 3 to 6 months of relevant experience to join our dynamic team. The ideal candidate will have a solid understanding of data engineering principles and practical experience working with Google Cloud Platform (GCP), Apache Airflow, DBT, Python, and BigQuery. Candidates who have completed internships or gained professional experience in data engineering will be highly preferred.

Key Responsibilities:
- Design, build, and maintain scalable data pipelines on Google Cloud Platform (GCP).
- Utilize GCP services such as Cloud Run and Data Stream to support data engineering workflows.
- Orchestrate and manage workflows using Apache Airflow (Composer).
- Develop and maintain DBT transformations to support analytical data models.
- Write clean, efficient Python code for data processing tasks.
- Work extensively with BigQuery for large-scale data analytics and reporting.

Required Qualifications:
- 3 to 6 months of experience in Data Engineering or a similar role.
- Previous internship or professional experience in Data Engineering is preferred.
- Basic hands-on experience with Google Cloud Platform services.
- Familiarity with Apache Airflow (Composer) and DBT for workflow orchestration and data transformation.
- Good working knowledge of Python programming.
- Experience or familiarity with BigQuery for data analytics.
- Strong problem-solving abilities and analytical skills.

This role offers an excellent opportunity for early-career professionals to deepen their expertise in cloud-based data engineering and work with cutting-edge technologies in a collaborative environment.