**Hello,**

**I hope you are doing good.**

**Position – Data Engineer**

**Location – Stockholm & Malmo, Sweden (Onsite)**

**Experience - 6+ Years**

**Language - English**

**Duration - 6 months B2B Contract, It's extendable.**

**Job Description**

Key responsibilitiesDesign and build data solutions Create and maintain scalable data pipelines and architectures using Azure services.Develop ELT processes Build, manage, and optimize extract, transform, and load (ETL) or extract, load, and transform (ELT) processes using tools like Azure Data Factory.Manage data storage Implement and manage data storage solutions such as Azure SQL Database, Azure Data Lake Storage (ADLS), and Azure Cosmos DB.Ensure data quality Implement data validation, cleansing, and quality assurance methodologies to maintain data integrity.Optimize performance Monitor and troubleshoot data pipelines and databases to resolve performance issues.Collaborate with stakeholders Work with data scientists, analysts, and other teams to understand data requirements and deliver solutions.Ensure security Implement data security and access controls within the Azure environment, often using tools like Azure Key Vault. Required skillsAzure services
**Proficiency in Azure services like Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Data Lake Storage, and Azure Key Vault.Programming and scripting Strong skills in languages like Python, SQL, and PySpark.**
Data modeling Experience in designing and maintaining data models to ensure consistency and integrity.Cloud concepts A strong understanding of data warehousing and cloud-based data architectures.Analytical skills The ability to work with large datasets and perform data analysis.