
Senior Data Analytics Specialist
2 days ago
GCP Big Data Engineer
Our ideal candidate is a seasoned GCP Data Analytics professional with extensive experience in Big Data technologies and Google Cloud Platform services.
Key Responsibilities:
- Design, develop, and optimize data pipelines using GCP BigQuery, Dataflow, and Apache Airflow to support large-scale data analytics.
- Utilize the Big Data Hadoop ecosystem to manage and process vast datasets efficiently.
- Collaborate with cross-functional teams to gather requirements and deliver reliable data solutions.
- Ensure data quality, consistency, and integrity across multiple data sources.
- Monitor and troubleshoot data workflows to maintain high system availability and performance.
- Stay updated with emerging trends and best practices in GCP data analytics and big data technologies.
Required Skills and Qualifications:
- Implement and manage ETL processes leveraging GCP services such as BigQuery, Dataflow, and Airflow.
- Develop scalable, maintainable, and reusable data pipelines to support business intelligence and analytics needs.
- Optimize SQL queries and data models for performance and cost efficiency in BigQuery.
- Integrate Hadoop ecosystem components with GCP services to enhance data processing capabilities.
- Automate workflow orchestration using Apache Airflow for seamless data operations.
- Collaborate with data engineers, analysts, and stakeholders to ensure alignment of data solutions with organizational goals.
- Participate in code reviews, testing, and deployment activities adhering to best practices.
- Mentor junior team members and contribute to continuous improvement initiatives within the data engineering team.
Benefits:
This role offers a unique opportunity to work with cutting-edge technology and collaborate with experienced professionals in the field of data analytics.
Others:
As a GCP Big Data Engineer, you will have the opportunity to work on challenging projects, develop your skills, and contribute to the growth of our organization.
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