
Cloud Data Architect
1 week ago
Data Engineering Specialist
">We are seeking a skilled professional to design and implement large-scale data processing systems on Google Cloud Platform (GCP). The ideal candidate will have expertise in programming languages: Python, Java, and experience with GCP tools and technologies like BigQuery, Dataflow, Cloud Composer, Cloud Spanner, GCS, DBT.
">Key Responsibilities:
">- Data Pipeline Design: Develop and deploy scalable data pipelines using GCP BigQuery, Apache Beam, and Cloud Composer.
- Data Processing Applications: Design and implement scalable data processing applications using Python, SQL, and ETL tools.
- Data Warehouse Maintenance: Maintain and optimize data warehouse environments on GCP.
- Cross-Functional Collaboration: Collaborate with cross-functional teams to identify business requirements and design data solutions.
Requirements:
">- 5-10 Years of Experience: 5-10 years of experience in data engineering with a focus on cloud platforms.
- Programming Languages: Expertise in programming languages: Python, Java.
- GCP Tools and Technologies: Active experience on GCP tools and technologies like BigQuery, Dataflow, Cloud Composer, Cloud Spanner, GCS, DBT.
- Data Engineering Skillset: Data Engineering skillset using Python, SQL.
- ETL Processes: Experience in ETL (Extract, Transform, Load) processes.
- DevOps Tools: Knowledge of DevOps tools like Jenkins, GitHub, Terraform is desirable.
Preferred Qualifications:
">- GCP Data Engineer Certification: GCP Data Engineer Certification.
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