We are seeking a highly skilled Data Engineer with expertise in Python, PySpark, SQL, Azure, and Microsoft Fabric. The successful candidate will be responsible for designing, developing, and maintaining scalable data pipelines and data architectures across cloud-based platforms.
Responsibilities:
• Collaborate with cross-functional teams to design, develop, and implement scalable data solutions using Python, PySpark, SQL, and Azure services.
• Design, develop, and maintain robust ETL/ELT pipelines for efficient data ingestion, transformation, and integration.
• Leverage Azure Data Factory, Databricks, Microsoft Fabric to build and maintain modern data architectures such as medallion architecture.
• Work closely with Power BI developers and data analysts to enable seamless data integration for reporting and analytics.
• Participate in all phases of the Software Development Lifecycle (SDLC) including requirement gathering, development, testing, and deployment.
• Write efficient, scalable, and optimized code to handle large volumes of structured and unstructured data.
• Ensure data quality, consistency, and reliability across data pipelines and storage systems.
• Collaborate with data scientists, analysts, and product teams to solve business and technical challenges.
• Conduct code reviews and provide constructive feedback to team members.
• Troubleshoot, debug, and resolve data pipeline and performance issues.
• Stay up to date with industry trends and best practices in data engineering and cloud technologies.
Requirements:
• Strong experience in data engineering using Python, PySpark, and SQL.
• Proven expertise in designing and implementing ETL/ELT pipelines for data ingestion, transformation, and integration.
• Solid understanding of relational databases with proficiency in SQL, including creating views and stored procedures.
• Hands-on experience with Azure services such as Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
• Experience implementing medallion architecture (Bronze, Silver, Gold layers) using Delta Lake in Azure Data Lake Storage (ADLS) or OneLake.
• Familiarity with Microsoft Fabric for unified data integration, processing, and reporting.
• Strong experience working with large-scale datasets and distributed computing frameworks like Spark.
• Familiarity with version control systems such as Git.
• Understanding of software development best practices and agile methodologies.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills.
• Good to have knowledge of GenAI concepts including RAG architecture, AI agents, SKILL.md workflows, and AI orchestration frameworks.
KPMG – це міжнародна мережа фірм, що надають аудиторські, податкові та консультаційні послуги. В офісах KPMG у 143 країнах світу працюють понад 273,000 співробітників (FY23). Кожна фірма KPMG є незалежною юридичною особою і представляє себе як таку.
KPMG працює в Україні з 1992 року. KPMG в Україні надає аудиторські, податкові, бухгалтерські та консультаційні послуги для місцевих і міжнародних компаній. Нашою метою завжди було використання глобального інтелектуального потенціалу фірми в поєднанні з практичним досвідом наших українських професіоналів, щоб допомогти провідним компаніям досягти своїх цілей.
Офіси компанії знаходяться у Києві та Львові.
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KPMG is a global network of professional services firms providing audit, tax and advisory services. We operate in 143 countries and territories, and in FY23, collectively employed more than 273,000 people working in member firms around the world.
KPMG in Ukraine provides audit, tax, accounting and advisory services to local and international businesses. KPMG has been working in Ukraine since 1992, and our goal has always been to use the firm's global intellectual potential, combined with the practical experience of our Ukrainian professionals, to help leading companies to achieve their goals.
In Ukraine KPMG has its offices in Kyiv and Lviv.
