Senior Data Engineer (Azure)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Data Engineer (Azure): Designing, building, and optimizing data pipelines and scalable data products in the Sales domain with an accent on IICS and Azure cloud services. Focus on developing robust data ingestion, maintaining API integrations, and ensuring performance, security, and scalability of complex data systems.
Location: Fully Remote (restricted to Poland)
Company
is a global organization of over 6,000 specialists providing a full spectrum of services including business advisory, enterprise solutions, product development, and software development.
What you will do
- Design, develop, and optimize data pipelines and workflows using Azure Databricks and Python.
- Implement and maintain robust data solutions across the Azure platform, including Data Lake and Data Factory.
- Develop and maintain APIs to support data ingestion, sharing, and interoperability.
- Collaborate with business stakeholders to translate complex requirements into technical data solutions.
- Ensure high standards of data quality, security, and compliance across all projects.
- Continuously improve system performance, cost-efficiency, and scalability.
Requirements
- Minimum of 4 years of professional experience as a Data Engineer.
- Strong expertise in IICS (Informatica Intelligent Cloud Services).
- Advanced proficiency in Azure Databricks, Python, and Spark.
- Solid experience with Azure Data Services like Azure Data Lake and Azure Data Factory.
- Hands-on experience with ingestion tools such as Qlik Replicate, MQ, or MQCC.
- Experience in API development using REST/JSON and working with CI/CD pipelines.
Culture & Benefits
- Private healthcare and sports card.
- Private insurance options.
- Flexible cafeteria system.
- Commitment to diversity, inclusion, and equal opportunities in career development.
Hiring process
- Application review, Talent Acquisition interview, and technical interview.
- Potential customer interview to align on expectations and team fit.
- Job offer and onboarding.
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