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We are seeking a skilled Software Engineer with expertise in data engineering and analytics to join our team. The role involves designing and optimizing Data pipelines, managing Data Lake architectures on Azure or AWS, and leveraging tools like Databricks, Data Factory, Delta Lake, NoSQL, and Spark.
Job Responsibility:
Develop and maintain scalable ETL/ELT pipelines for data transformation
Manage Data Lakes and big data frameworks, ensuring performance and security
Utilize Azure tools such as Data Factory, Databricks, and Delta Lake
Collaborate with analytics teams to deliver curated datasets
Optimize NoSQL databases and leverage Apache Spark for big data processing
Requirements:
Strong experience in data engineering with Azure or AWS
Hands-on expertise with Databricks, Delta Lake, Data Factory, and NoSQL databases
Proficiency in Python, Scala, or SQL for data workflows
Solid understanding of ETL/ELT patterns and big data processing
What we offer:
pension
healthcare
dental
25 days annual leave
Hybrid working model for flexibility
Opportunities for professional development and cutting-edge projects
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