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Senior Cloud Data Solutions Engineer
3 weeks ago
About This Role
We are seeking an experienced Cloud Data Architect to design and develop scalable, secure, and high-performance data solutions. As a key member of our team, you will be responsible for leading the architecture and implementation of cloud-based data pipelines and ETL processes.
Key Responsibilities
- Data Pipeline Development: Design, develop, and maintain cloud-based data pipelines using Databricks and other technologies.
- Architecture and Implementation: Lead the architecture and implementation of scalable, secure, and high-performance data solutions in the cloud.
- Collaboration and Communication: Collaborate with business stakeholders, data scientists, and analysts to gather requirements and deliver actionable data solutions.
- Optimization and Troubleshooting: Optimize data workflows for performance, cost-efficiency, and reliability, and troubleshoot issues in data pipelines to ensure high data availability and integrity.
Required Skills & Experience
- Data Engineering Experience: 7+ years of experience in data engineering, with a strong focus on cloud-based data solutions.
- Cloud Platform Experience: Hands-on experience with cloud platforms (Azure preferred; AWS/GCP a plus).
- Big Data Ecosystems: Solid understanding of big data ecosystems (Hadoop, Kafka, etc.).
- PySpark and Scala: Strong experience with PySpark and Scala programming languages.
- Databricks SQL: Proven Subject Matter Expertise in Databricks (including Databricks SQL, Delta Lake, and MLflow).
What We Offer
- Opportunity to Work with Cloud-Based Technologies: The chance to work with cutting-edge cloud-based technologies and contribute to the development of innovative data solutions.
- Collaborative Team Environment: A collaborative team environment that fosters knowledge sharing and professional growth.
- Professional Development Opportunities: Opportunities for professional development and career advancement.