
Cloud Data Architect Specialist
2 days ago
We are seeking a highly skilled and experienced Cloud Data Architect Specialist to join our team.
The ideal candidate will be a hands-on expert in designing, building, and managing robust and scalable data pipelines on the cloud platform. This role is crucial for our data-driven initiatives, requiring a strong understanding of cloud-based data solutions and a passion for optimizing data workflows.
- Data Pipeline Development: Design, build, and maintain scalable and efficient data pipelines using a range of cloud services.
- ETL Processes: Implement and manage ETL processes to extract data from various sources, transform it for analysis, and load it into data lakes or data warehouses.
- Data Workflow Optimization: Continuously monitor and optimize data workflows and processing jobs to improve performance, reduce latency, and ensure cost-effectiveness.
- Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality, clean, and accessible data.
- Cloud Security and Governance: Implement and maintain data security best practices on cloud, including access control, encryption, and compliance with data governance policies.
- Automation: Automate data-related tasks and infrastructure management using scripting and Infrastructure as Code (IaC) principles.
- Hands-on Cloud Expertise: Strong experience with core cloud data services, including AWS Glue, Amazon S3, and AWS Lambda.
- Programming Proficiency: Expert-level skills in Python for scripting, automation, and data manipulation.
- Distributed Data Processing: Proven experience with PySpark for processing large-scale datasets.
- Data Engineering Fundamentals: Solid understanding of data warehousing, data modeling, and ETL/ELT concepts.
- SQL Knowledge: Proficient in SQL for data querying and manipulation.
- Familiarity with other Cloud Services: Experience with other cloud services such as Amazon Redshift, Amazon Athena, and AWS Step Functions is a plus.
- Security and Performance: Knowledge of cloud security best practices (e.g., IAM, KMS) and experience with performance tuning and cost optimization.
- Problem-Solving: Excellent analytical and problem-solving skills with a meticulous attention to detail.
This role offers the opportunity to work on complex projects, collaborate with talented individuals, and develop your expertise in cloud data architecture.
We are an equal opportunities employer and welcome applications from diverse candidates.
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