Senior Spark Developer

🕒 April 26

🗣️🇧🇷🇵🇹 Portuguese Required

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Logo of EY

EY

WebsiteLinkedIn

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 scalable data processing applications using Apache Spark with Java on AWS; • Collaborate with data engineers, data scientists, and business stakeholders to gather requirements and translate them into technical specifications; • Optimize Spark jobs for performance and efficiency, ensuring high-quality data processing; • Implement data engineering best practices, including data ingestion, transformation, and storage; • Work with AWS services such as EMR, S3, Glue, and Redshift to build and deploy data solutions; • Conduct code reviews and mentor junior developers, fostering a culture of continuous improvement; • Troubleshoot and resolve issues in existing data processing applications, ensuring optimal performance and reliability; • Stay up to date with the latest technologies and industry trends to continuously improve development practices.

🎯 Requirements

• Bachelor's degree in Information Systems, Computer Science, Data Engineering, or a related field; • Advanced/Fluent English - C2 (there will be interaction with international clients); • Software development experience with a strong focus on Apache Spark, Java, and AWS; • Proficiency with data processing frameworks and tools, particularly Spark SQL and DataFrames; • Solid knowledge of AWS services, including EMR, S3, Glue, and Redshift; • Excellent analytical and problem-solving skills.

🏖️ Benefits

• Meal allowance • Meal voucher • Transportation allowance • Health insurance • Dental insurance • Corporate university (training & development) • Wellhub • Profit-sharing (PLR)

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