
Senior Cloud Data Architect
18 hours ago
Key Responsibilities:
- Design, develop, and maintain scalable data pipelines and ETL processes using cloud-based services such as BigQuery, Cloud Data Fusion, Dataflow, Pub/Sub, Cloud Storage, Composer, Cloud Function, and Cloud Run.
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions.
- Implement data integration solutions to ingest, process, and store large volumes of structured and unstructured data from various sources.
- Optimize and tune data pipelines for performance, reliability, and cost-efficiency.
- Ensure data quality and integrity through data validation, cleansing, and transformation processes.
- Develop and maintain data models, schemas, and metadata to support data analytics and reporting.
- Monitor and troubleshoot data pipeline issues, ensuring timely resolution and minimal disruption to data workflows.
- Stay up-to-date with the latest cloud technologies and best practices, and provide recommendations for continuous improvement.
- Mentor and guide junior data engineers, fostering a culture of knowledge sharing and collaboration.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
- 4 to 6 years of experience in data engineering, with a strong focus on cloud computing.
- Proficiency in cloud-based services such as BigQuery, Cloud Data Fusion, Dataflow, Pub/Sub, Cloud Storage, Composer, Cloud Function, and Cloud Run.
- Strong programming skills in Python and PLSQL.
- Experience with SQL and NoSQL databases.
- Knowledge of data warehousing concepts and best practices.
- Familiarity with data integration tools and frameworks.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills.
- Ability to work in a fast-paced, dynamic environment.
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