Join to apply for the Azure Data Engineer role at Softthink Solutions . About the Role: We seek a skilled Data Engineer to support multiple International organization projects. The consultant will work with a multidisciplinary team, delivering data solutions using cutting-edge technologies in a highly collaborative environment. Key Responsibilities: Design and implement data solutions using Microsoft Azure (preferred), AWS, or Google Cloud. Develop and optimize ETL/ELT processes using Azure Data Factory, Databricks, PySpark, SQL Server, and SSIS. Manage and optimize Data Lakes/Delta Lakes and complex data transformations. Build and maintain CI/CD pipelines using Azure DevOps. Migrate legacy data systems to modern platforms. Required Skills & Experience: 5+ years as a Data Engineer. Expertise in Microsoft Azure Data Services (Data Factory, Logic Apps, Azure Functions, Databricks, Synapse, DevOps). Strong SQL (T-SQL, Spark SQL) and Python/PySpark experience. Proven experience with Data Lakes, Delta Lakes, and ETL pipelines. Experience with CI/CD, PowerShell, and Bash scripting. Strong communication, collaboration, and problem-solving skills. Preferred: AI/ML and Business Intelligence (BI) knowledge is a plus. Experience in Agile methodologies (SCRUM, PMP, PRINCE2). Certifications: Azure Data Engineer Associate, DP-500, or related. This is a remote position. Seniority level Not Applicable Employment type Full-time Job function Information Technology Industries Software Development Referrals increase your chances of interviewing at Softthink Solutions by 2x. Sign in to set job alerts for “Data Engineer” roles. Salary ranges vary by location, with recent postings from $65,000 to $200,000. #J-18808-Ljbffr Softthink Solutions
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