Technology Consulting - AI and Data - Data Engineer Cloudera- Senior Consultant

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. 

EY GDS – AI and Data – Data Engineer (Cloudera) - Senior Consultant
Your Key Responsibilities:

• Design and implement scalable solutions on Cloudera platform for data engineering tasks.
• Develop and manage Talend ETL processes and data pipelines in a cloud & on-premises environment.
• Collaborate with global teams to understand business objectives and deliver solutions that meet their needs.
• Optimize data models and code for enhanced performance and efficiency.
• Engage in continuous learning and contribute to the development of innovative data engineering practices.

Skills and Attributes for Success:

• Proven experience (4-5 years) in building data pipelines, data ingestion, and analytical frameworks for various database systems.
• Proficient in data migration and processing using Talend and other cloud-based services.
• Skilled in Python or PySpark for data manipulation and analysis.
• Solid understanding and practical experience with data warehousing tools.
• Knowledgeable in DevOps practices, including CI/CD for streamlined deployments.
• Expertise in SQL, including advanced procedural SQL.
• Strong problem-solving abilities with a focus on delivering high-quality technical solutions.

To Qualify for the Role, You Must Have:

• A degree in Computer Science or a related field with 4-5 years of relevant industry experience.
• Primary skills: 4-5 years of hands-on experience with Cloudera.
• Secondary skills: Proficiency in Python and experience with Talend.
• Industry-specific experience in one or more of the following domains: Oil & Gas, Power & Utilities, or Finance.
• Experience with Agile methodologies is preferred.
• Self-motivated with a proactive approach to problem-solving.
• Ability to analyze complex technical issues and provide effective solutions.
• Commitment to software development best practices.
• Proficient in debugging and optimizing enterprise-level applications.
• Capable of translating business challenges into robust technical solutions.
• Excellent communication skills, both written and verbal.
• Experience in managing client relationships and understanding client needs.
   

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