We are looking for a Data Engineer for challenging project.What you'll do:Act as the team's go-to specialist for Azure Data Factory (ADF), Databricks, Python, PySpark, and Spark SQL; Lead the day-to-day efforts to gather and ingest raw data into centralized enterprise data platforms; Collaborate with data and engineering teams to define robust data pipelines, standards, and flow documentation; Oversee end-to-end data ingestion and transformation processes across diverse data environments, including data lakes and warehouses; Continuously improve andfine-tune ingestion and integration workflows to maximize performance and reliability.What you will need to bring:Bachelor's degree in Computer Science, Engineering, or a closely related field — or equivalent hands-on industry experience; Proven experience designing and deploying robust, production-level data pipelines using Azure Data Factory (ADF); Strong background working on enterprise-grade data lake or cloud data platform implementations, preferably in complex, multi-source environments; Advanced proficiency in SQL and one or more programming languages such as Python or R; working knowledge of T-SQL and data-centric scripting; Skilled in building event-driven data workflows utilizing Azure Functions, with the ability to connect and manage varied data sources; Solid experience delivering and maintaining both batch-processing and API-driven data pipelines across heterogeneous systems.What can Syone offer me:Integration in an organization with profound and sustained growth and involvement in pioneering projects with innovative technological solutions; Strong IT training plans;Professional evolution with intervention in ambitious technological projects, both national and internationally.
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