
Chief Data Engineering Officer
4 days ago
We are seeking a skilled Senior Data Engineer with expertise in designing, building, and maintaining large-scale data processing systems on Google Cloud Platform (GCP).
Key Responsibilities:
- Design and implement efficient Extract, Transform, Load (ETL) pipelines using Python and Java programming languages.
- Develop data ingestion solutions using batch and streaming data ingestion techniques to integrate various data sources into our data warehouse.
- Create data models to store and analyze large datasets, ensuring data consistency and integrity.
- Work with databases, including relational SQL and NoSQL databases, understanding their differences and best practices.
- Collaborate with cross-functional teams to ensure seamless integration of data systems and drive business growth.
Requirements:
- 4+ years of experience in data engineering with expertise in GCP, including proficiency in Python and Java programming languages.
- Knowledge of Google Cloud Services (GCS), PubSub, Cloud Dataflow, Cloud Dataproc, BigQuery, and Airflow/Composer.
- Understanding of database concepts, including SQL and NoSQL databases.
- Experience with data warehouse concepts and ETL pipelines.
Benefits:
- Opportunity to work on cutting-edge projects with a talented team of engineers.
- Professional growth and development opportunities through training and mentorship.
- Flexible remote work arrangements to support work-life balance.
What We Offer:
- Meaningful work that impacts the organization's success.
- A collaborative and dynamic work environment.
- Opportunities for professional growth and development.
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