
Scalable Data Solutions Engineer
4 days ago
- Job Description:
- We are seeking an experienced professional to design and implement scalable data solutions using Google Cloud Platform services. Collaborate with cross-functional teams to deliver reliable data insights.
- Develop scalable, maintainable, and reusable data pipelines to support business intelligence and analytics needs.
Key Responsibilities:
- 1. Implement ETL processes leveraging GCP services like BigQuery, Dataflow, and Airflow.
- 2. Optimize SQL queries and data models for performance and cost efficiency in BigQuery.
- 3. Integrate Hadoop ecosystem components with GCP services to enhance data processing capabilities.
- 4. Automate workflow orchestration using Apache Airflow for seamless data operations.
Requirements:
- Extensive experience in Big Data technologies and Google Cloud Platform services.
- Proficiency in languages such as Python, Scala, and Java.
- Strong understanding of data quality, consistency, and integrity.
What We Offer:
- Competitive remuneration packages.
- Opportunity to work with a leading organization in the field of data analytics.
Apply Now:
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