Informacje o stanowisku

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Client:

kdrhumanresourcesconsulting

Location:

Job Category:

Other

EU work permit required:

Yes

Job Reference:

7c89e39a9723

Job Views:

14

Posted:

23.01.2025

Expiry Date:

09.03.2025

Job Description:

We are looking for a Senior Data Engineer to join our team and help us execute our ambitious vision. As a Senior PySpark Developer, you will lead the design and implementation of large-scale data processing systems, providing strategic insights that drive business success. You will mentor junior developers, influence architectural decisions, and collaborate with cross-functional teams to deliver robust and efficient data solutions. This role offers a hybrid model, with 3 days per week working from the clients office.

Responsibilities

• Design scalable and resilient data architectures on Azure, leveraging services like Azure Data Lake Storage, Azure SQL Database, and Azure Data Factory.
• Evaluate and implement new tools and technologies to enhance data processing capabilities.
• Lead the development and optimization of complex data pipelines using PySpark and Azure Databricks.
• Provide technical guidance and mentorship to junior developers, ensuring best practices and high-quality code.
• Identify and drive opportunities for process improvement and automation.
• Stay abreast of industry trends and emerging technologies to ensure the organization remains competitive in big data and cloud solutions.
• Solve complex data challenges using innovative approaches and critical thinking.
• Collaborate with business stakeholders, data scientists, and engineers to understand strategic goals and deliver data-driven solutions.

Requirements

• At least 3 years of experience in big data processing and cloud technologies.
• Advanced proficiency in PySpark, Python, and SQL.
• Extensive experience with Azure cloud services, including Azure Databricks, Data Lake, and Azure Data Factory.
• Proven experience in designing and implementing large-scale data architectures.
• Strong leadership and mentoring abilities with a track record of leading successful data projects.
• Excellent communication and interpersonal skills, with the ability to influence and drive change.

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