Gcp Data Engineer
2 weeks ago
Responsibilities
- Design, develop, and maintain robust and scalable data pipelines on the GCP.
- Hands on experience on GCP services such as BigQuery, Jitterbit, Cloud Dataflow, Cloud Pub/Sub, and Cloud Storage to build efficient data processing solutions.
- Develop and optimize ETL/ELT processes to extract, transform, and load data from various sources into data warehouses and data lakes.
- Collaborate with cross functional teams to understand their data needs and translate them into technical requirements.
- Ensure data quality, integrity, and security throughout the data lifecycle.
- Build and maintain data models and schemas that support business intelligence and analytics.
- Troubleshoot data quality issues and performance bottlenecks.
- Stay updated on the latest data engineering trends and technologies
Nice to Have
- Experience with Apache Airflow for workflow orchestration.
- GCP certifications (e.g., Google Cloud Certified Professional Data Engineer) or Jitterbit certification.
Qualification and Skills Required:
- Bachelors degree in computer science, Engineering, or a related field.
- 2 to 3 years of experience as a Data Engineer using cloud technologies (GCP preferable).
- Proficiency in Python, SQL, and BigQuery (preferable).
- Hands-on experience with data ingestion, transformation, and loading using cloud-based Data Engineering services.
- Strong understanding of data warehousing and data lake concepts.
- Experience with data modeling and schema design.
- Ability to work independently and collaboratively with internal and external teams.
- Excellent problem-solving and analytical skills.
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