Cloud Data Specialist Role
We are seeking a skilled cloud data specialist who wants to transform their career.
About the Role
We are looking for an experienced professional to join our team as a Cloud Data Specialist. The ideal candidate will design and implement data architectures on GCP using services such as BigQuery, Dataflow, Dataproc, Pub/Sub, and Composer. They will develop and optimize scalable, high-performance ETL/ELT pipelines. Ensure data quality, integrity, and security end-to-end. Create and maintain data models aligned with business needs. Collaborate with data scientists, analysts, and software engineers to support advanced analytics and machine learning use cases. Automate ingestion, transformation, and data delivery processes. Monitor and optimize cost and performance of GCP resources. Implement best practices for DataOps and Data Governance.
Key Responsibilities:
* Data Engineering Skills: Proficiency in BigQuery, Dataflow (Apache Beam), Cloud Storage, and Pub/Sub. Experience with SQL, Oracle Database, and PostgreSQL. Knowledge of orchestration using Cloud Composer (Airflow).
* Cloud Cost Optimization: Hands-on experience with CI/CD applied to data pipelines (Git, Terraform). Experience with cloud cost and performance optimization. GCP certifications.
* Data Science and Machine Learning: Experience with Machine Learning pipelines (Vertex AI, AI Platform). Previous involvement with Data Mesh and distributed architectures. Understanding of Data Lake layers.
* ETL and ELT Pipelines: Develop and optimize scalable, high-performance ETL/ELT pipelines. Ensure data quality, integrity, and security end-to-end.
* Data Governance: Implement best practices for DataOps and Data Governance. Collaborate with data scientists, analysts, and software engineers to support advanced analytics and machine learning use cases.
Benefits:
The ideal candidate will have the opportunity to work on cutting-edge projects, collaborate with a talented team, and grow professionally in a dynamic environment.
Requirements:
1. Experience: Minimum 5 years of experience in data engineering, cloud computing, and machine learning.
2. Education: Bachelor's degree in Computer Science, Information Technology, or related field.
3. Skills: Proficiency in BigQuery, Dataflow (Apache Beam), Cloud Storage, and Pub/Sub. Experience with SQL, Oracle Database, and PostgreSQL. Knowledge of orchestration using Cloud Composer (Airflow).
4. Certifications: GCP certifications.
5. Soft Skills: Strong communication and collaboration skills. Ability to work in a fast-paced environment.