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EY is looking for a Data Engineer
Experience Required: 5+ years
Job Description:
Responsibilities
Key Responsibilities:
Technical Skills:
Technical skills in Design, build, and maintain scalable and high-performance data processing pipelines using Apache Spark and Scala., develop ETL processes to ingest, transform, and store large volumes of data from various sources. Optimize Spark jobs for performance and cost efficiency, collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs. Write clean, maintainable, and well-documented code, ensure data quality and implement data governance standards. Troubleshoot and resolve issues in the data pipelines. Stay up-to-date with the latest developments in big data technologies and contribute to the evolution of our data platform. Proven experience with Apache Spark and Scala programming, strong understanding of distributed computing principles and big data architectures, experience with Hadoop ecosystem components (HDFS, YARN, Hive, etc.) is a plus.
Qualifications:
What we look for
People with the ability to work in a collaborative manner to provide services across multiple client departments while following the commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. We look for people who are agile, curious, mindful and able to sustain positive energy, while being adaptable and creative in their approach.
What we offer
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