Cloud Data Architect for Databricks Solutions
7 dni temu
We are seeking an experienced Cloud Data Engineer to join our team in designing and implementing scalable data processing systems on the Azure platform. This involves writing efficient code to process, transform, and clean large volumes of structured and unstructured data.
The ideal candidate will have hands-on experience in designing and building data pipelines to ingest data from various sources such as databases, APIs, or streaming platforms. They should also be familiar with integrating and transforming data to ensure its compatibility with the target data model or format.
Key responsibilities include:
- Designing and optimizing data storage solutions (data lakes, data warehouses, distributed file systems).
- Identifying and resolving bottlenecks, tuning queries, and implementing caching strategies to enhance data retrieval speed and overall system efficiency.
- Collaborating with cross-functional teams including data scientists, analysts, and business stakeholders to understand their requirements and provide technical solutions.
Requirements:
- Proven experience in Azure cloud-based infrastructure, Databricks implementation.
- Hands-on experience with T-SQL (minimum 5 years) and Python, PySpark.
- Familiarity with agile methodologies and tools like JIRA, Azure DevOps.
- Excellent communication skills, including the ability to convey complex technical information clearly and specifically to co-workers and business stakeholders.
We offer a stable employment environment with flexible working hours and contract options. Our comprehensive online onboarding program includes a 'Buddy' support system, unlimited access to the Udemy learning platform, and opportunities for professional development and growth within the company.
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