Build and Lead Scalable Data Architecture
Job Description
As a Senior Data Engineer, you will be responsible for designing and implementing data architectures on Google Cloud Platform using various services. Your primary focus will be on building scalable, high-performance ETL/ELT pipelines that ensure data quality, integrity, and security across the entire data lifecycle.
You will create and maintain data models aligned with business needs, working closely with data scientists, analysts, and software engineers to support advanced analytics and machine learning use cases. This requires proficiency in BigQuery, Dataflow (Apache Beam), Cloud Storage, and Pub/Sub.
In addition to technical skills, successful candidates should possess excellent communication and collaboration skills, with the ability to work effectively in a team environment.
Required Skills and Qualifications
1. Proficiency in BigQuery, Dataflow (Apache Beam), Cloud Storage, and Pub/Sub
2. Experience with SQL, Oracle Database, and PostgreSQL
3. Knowledge of orchestration using Cloud Composer (Airflow)