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.
Key Responsibilities
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
Competitive salary.
Benefits include pension, healthcare, dental, and 25 days annual leave.
Hybrid working model for flexibility.
Opportunities for professional development and cutting-edge projects.
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