Big Data Specialist
3 dni temu
Talan is an international advisory group on innovation and transformation through technology, with a workforce of 5000 employees.
We offer our customers a continuum of services to support their organization's transformation, with four main activities:
- Management and Innovation Consulting: supporting business, managerial, cultural, and technological transformations.
- Data & Technology Services to implement major transformation projects.
- Cloud & Application Solutions for building or integrating software solutions.
- Service Centers of Excellence for supporting the latter through technology, innovation, agility, sustainability of skills, and cost optimization.
Talan accelerates its clients' transformation through innovation and technology. By understanding their challenges, we enable them to be more efficient and resilient through our support, innovation, technology, and data.
We believe that only a human-oriented practice of technology will make the new digital age an era of progress for all.
Job DescriptionOur team is based in Warsaw, Poland - relocation is required. We are seeking a skilled Data Engineer with expertise in Python, PySpark, and Cloudera to join our team. The ideal candidate will be responsible for developing and optimizing big data pipelines while ensuring efficiency and scalability. Experience with Databricks is a plus. Additionally, familiarity with Git, GitHub, Jira, and Confluence is highly valued for effective collaboration and version control.
Key Responsibilities- Design, develop, and maintain ETL pipelines using Python and PySpark.
- Work with Cloudera Hadoop ecosystem to manage and process large-scale datasets.
- Ensure data integrity, performance, and reliability across distributed systems.
- Collaborate with data scientists, analysts, and business stakeholders to deliver data-driven solutions.
- Implement best practices for data governance, security, and performance tuning.
- Use Git and GitHub for version control and efficient code collaboration.
- Track and manage tasks using Jira, and document processes in Confluence.
- (Optional) Work with Databricks for cloud-based big data processing.
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