
Cloud-Based Data Engineering Leader
2 days ago
Job Summary:
We are seeking an experienced Senior Data Architect to lead the design and development of our data architecture strategy. This individual will work closely with cross-functional teams to drive business growth through data-driven insights.
About the Role:
- Develop and maintain scalable data pipelines and ETL processes using cloud-based services.
- Collaborate with data scientists, analysts, and stakeholders to understand data requirements and develop solutions that meet business needs.
- Implement data integration solutions to ingest, process, and store large volumes of structured and unstructured data.
- Optimize and tune data pipelines for performance, reliability, and cost-efficiency.
- Maintain high-quality data assets through data validation, cleansing, and transformation processes.
- Design and implement data models, schemas, and metadata to support data analytics and reporting.
- Monitor and troubleshoot data pipeline issues.
- Stay up-to-date with the latest cloud technologies and best practices.
- Mentor and guide junior team members.
Requirements:
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
- 6+ years of experience in data engineering, with a strong focus on cloud-based services.
- Proficiency in cloud services such as BigQuery, Cloud Data Fusion, Dataflow, Pub/Sub, Cloud Storage, Composer, Cloud Function, Cloud RUN.
- Strong programming skills in Python, 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.
What We Offer:
A competitive compensation package, comprehensive benefits, and opportunities for professional growth and development.
How to Apply:
Please submit your resume and cover letter to [contact email].
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