Senior Azure Data Platform Engineer

Data Platform Engineer (Azure)
Sofia/hybrid
58.000-68.000 EUR/year + bonuses

The partner company is an American tech giant, an IT service and IP product company, which operates in 12 countries all across North America, Europe and Asia-Pacific.

The company specializes into emerging technologies: Digital Transformation (cloud oriented), Data Management and Analytics, Robotic Process Automation (RPA), Internet of Things (IoT), Cyber Security (everything from SOC to pentesting), Artificial Intelligence and Machine Learning to take their clients and partners a step further to the future.

The role:
Lead the implementation, and maintenance of our cloud-based data platform, ensuring scalability, reliability, and security.
Collaborate with our third-party vendor responsible for the data platform, overseeing their performance and adherence to established standards.

Data Onboarding and Integration:
Spearhead the onboarding of new data sources, ensuring quick integration into our platform.
Develop and maintain efficient data pipelines for the extraction, loading and transformation (ELT) of diverse datasets.

Product Ownership:
Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand requirements and deliver solutions.
Function as the coordinator of the data engineering team, providing technical leadership and guidance.

Continuous Improvement:
Proactively identify and address performance bottlenecks, data quality issues, and other challenges.
Setup and take part in knowledge sharing sessions, including continuous development of your personal and technological skills.
To provide modern Data Management platforms on the cloud for core BI and analytics applications
Perform analysis of system data to identify patterns, exceptions and erroneous data
Develop data collection and transformation pipelines for data acquisitions
Develop APIs on data virtualization platforms
Design databases using best practice design techniques.
Ensure that data validation processes, data quality control standards, testing strategy and test plans for data services are applied to applications

PM for more info.

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