Data Engineer, Kafka

🕒 April 1

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EY

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1989

💸 Finance

Finance • Consulting • Technology

EY is a global professional services firm, widely recognized for providing audit, tax, consulting, and advisory services. It focuses on helping its clients solve complex problems and transform their businesses using data and technology. EY is committed to building a better working world by enhancing trust in financial markets and economies globally. Its services include corporate finance advisory, transaction strategy, technology consulting, and more, catering to sectors such as health, energy, finance, government, and more. EY also emphasizes sustainability and innovation in its solutions.

📋 Description

• Design, develop, and maintain data pipelines using Apache Kafka to enable real-time data integration and processing • Collaborate with cross-functional teams to gather requirements and translate them into technical specifications for Kafka integration • Set up and configure Kafka clusters, ensuring optimal performance and reliability • Implement data structures and schemas for Kafka topics to support efficient data storage and retrieval • Monitor and troubleshoot Kafka data pipelines, addressing any issues related to data integrity and performance • Work with databases to ensure seamless integration of Kafka data into target systems • Stay up to date with the latest trends and best practices in data engineering and Kafka technologies

🎯 Requirements

• Bachelor's degree in Information Systems, Computer Science, Data Engineering, or a related field • Advanced/Fluent English - C2 (there will be contact with international clients) • Experience as a Data Engineer or in a similar role with a strong focus on Apache Kafka • Proficiency in Kafka data structures, configuration, and administration • Experience configuring and managing databases (e.g., SQL, NoSQL) • Strong analytical and problem-solving skills • Experience in the financial services industry, particularly Wealth and Asset Management (a plus) • Familiarity with other data processing frameworks (e.g., Apache Spark, Flink) (a plus) • Relevant certifications in data engineering or Kafka technologies (a plus)

🏖️ Benefits

• Meal allowance • Meal voucher • Transportation allowance • Health insurance • Dental care • Corporate University • Other educational benefits • Wellhub • Profit sharing (PLR) • And much more