We''re looking for a Data Engineer to build, optimize, and support data workflows across our Azure ecosystem. You''ll work closely with technical and business stakeholders to deliver reliable, scalable, and well-documented data solutions that power analytics, reporting, and operational decisionmakingespecially across asset management data domains such as securities, holdings, benchmarks, and pricing. Responsibilities Design and orchestrate data pipelines using Azure Data Factoryfrom ingestion to transformation and delivery. Develop and optimize transformations in Azure Databricks using PySpark and SQL for largescale processing and validation. Model and store data in Azure Data Lake with robust partitioning, metadata, and governance practices. Query and warehouse datasets in Azure Synapse, enabling distributed querying and analytical workloads. Implement ETL/ELT workflows, including data cleansing, mapping, integration, and reconciliation. Automate routine tasks and operational checks using Python scripts. Ensure data quality through validation frameworks, exception handling, and documentation across the lifecycle. Collaborate with business and technology teams to turn requirements into scalable, productiongrade solutions. Qualifications Strong handson experience across the Azure data stackincluding Azure Databricks, Data Factory, Data Lake, and Synapse. Solid understanding of ETL/ELT principles and implementation. Advanced SQL and PySpark skills for transformation and validation. Experience in Python for automation and scripting. Strong problemsolving, attention to detail, and commitment to data quality. Excellent communication and documentation skillscomfortable interfacing with both technical and business teams. Proven experience managing and troubleshooting endtoend data workflows within the Azure ecosystem. Bonus Skills Power BI or Tableau for visualization and reporting support. Familiarity with DevOps concepts, CI/CD workflows, and source control (Azure DevOps preferred). Benefits You can pursue innovative career tracks and opportunities here. You can enhance your professional development through education and dedicated training. We''ll provide the skills you need to keep pace with the changing workplace while our compensation, benefits and wellness packages help you stay healthy and plan for the future. Please reach out to our friendly and welcoming team today to apply and register your interest for this fulltime hybrid Data Engineer position. #J-18808-Ljbffr
Job Title
Azure Data Engineer