
Chief Data Solutions Architect
2 weeks ago
We are seeking an experienced GCP Data Analytics professional with extensive knowledge in Big Data technologies and Google Cloud Platform services to design and implement scalable data solutions.
**Job Description**
Our team requires a seasoned professional to develop and optimize data pipelines using GCP BigQuery, Dataflow, and Apache Airflow to support largescale data analytics. The ideal candidate will utilize the Big Data Hadoop ecosystem to manage and process vast datasets efficiently, collaborate with crossfunctional teams to gather requirements, and deliver reliable data solutions. Additionally, they must ensure data quality consistency and integrity across multiple data sources, monitor and troubleshoot data workflows, and 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. Mandatory skills include GCP Storage, GCP BigQuery, GCP DataProc, GCP Cloud Composer, GCP DMS, Apache airflow, Java, Python, Scala, GCP Datastream, Google Analytics Hub, GCP Workflows, GCP Dataform, GCP Datafusion, GCP Pub/Sub, ANSI-SQL, GCP Dataflow, GCP Data Flow, GCP Cloud Pub/Sub, and Big Data Hadoop Ecosystem.
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