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.

Senior Data Engineer

Responsibilities:

• Deliver world-class data engineering infrastructure in collaboration with architects, UX designers, and product managers.
• Design, code, test, and develop features with good quality, maintainability, and end to end ownership
• Build cross-platform reusable components for faster shipping with a higher level of quality and consistency
• Collaborate with non-data stakeholders to understand their requirements with a high focus on delivery.
• Desire to test and change the status quo and innovate.
• Promote engineering excellence and best practices within the team, ensuring quality and continuous improvement.

Qualifications:

• Bachelor’s degree in computer science, Information Technology, or related field.
• Minimum 5 years of experience in designing, implementing, and managing Data engineering practices that includes all aspect of data warehousing , data quality , master data management.
• Minimum 3 years’ experience in Spark with either pyspark or scala and building data pipelines using any orchestration tools.
• Expertise in writing automations frameworks using any scripting language, preferably python/shell.
• Strong knowledge on SQL , PL/SQL is must.
• Optimizing spark sql code and job performance using spark configurations is strongly desirable/
• Understanding & knowledge of Data warehouse concepts and infrastructures.
• Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• In-depth knowledge of CI/CD process
• Knowledge in Data acquisition, real time systems is desirable.
  

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