
Cloud-Based Data Solutions Architect
7 hours ago
Job Summary:
We are seeking a proactive and self-motivated Cloud-Based Data Solutions Architect to support our work in architecting, building and maintaining scalable data infrastructure.
The ideal candidate will play a pivotal role in designing efficient data pipelines, optimizing workflows, and ensuring data availability and quality for production technology.
Key Responsibilities:
- Architect and maintain robust data pipelines (batch and streaming) integrating internal and external data sources.
- Collaborate with data analysts, scientists, and software engineers to understand data needs and develop solutions.
- Implement data quality checks, data governance practices, and monitoring systems to ensure reliable and trustworthy data.
- Optimize performance of ETL/ELT workflows and improve infrastructure scalability.
Required Skills and Qualifications:
- 7+ years of experience in cloud-based data engineering and solution delivery.
- Deep understanding of data modeling, data warehousing concepts, and distributed systems.
- Excellent problem-solving skills and ability to progress with design, build and validate output data independently.
- Deep proficiency in Python (including PySpark), SQL, and cloud-based data engineering tools.
- Expertise in multiple cloud platforms (AWS, GCP, or Azure) and managing cloud-based data infrastructure.
- Strong background in database technologies (SQL Server, Redshift, PostgreSQL, Oracle).
Benefits:
- Full-time employment
- Limited travel may be required depending on team needs
- Flexibility to operate in a global organization
Other Information:
- Please note that we require candidates to have hands-on experience with web scraping, REST API integrations, and streaming data pipelines.
- Candidates with expertise in machine learning pipelines and MLOps practices will be given preference.
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