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Accenture

Google - Principal Data Engineer Lead

Posted on Dec. 4, 2024

  • Madrid, Spain
  • No Salary information.
  • Full Time

Google - Principal Data Engineer Lead

Client & Project: We are seeking for a new talent to join our company, where you will have the opportunity to collaborate in the project 'Tech SAP PRD Consumer Goods'.

Responsibilities: As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions for data generation, collection, and processing.

  • Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
  • Expected to be an SME, collaborate and manage the team to perform. Responsible for team decisions.
  • Engage with multiple teams and contribute on key decisions.
  • Expected to provide solutions to problems that apply across multiple teams.
  • Master proficiency in Google Cloud Data Services is required.
  • Expert level of proficiency in Google BigQuery is recommended. Big Data Engineering with Expert proficiency, Cloud Data Architecture with Expert proficiency, and Data Migrations with Expert proficiency are suggested skills.
  • Develop innovative data solutions to optimize data processes.
  • Collaborate with cross-functional teams to enhance data quality and efficiency Implement cutting-edge technologies to improve data migration processes.
  • Analyze and troubleshoot data issues to ensure seamless data flow .

Join us in a thrilling journey where you will be the go-to expert in Google Cloud Data Services, collaborating seamlessly with teams to drive innovation and make impactful decisions. Engage with multiple teams, contribute to key decisions, and provide solutions that transcend team boundaries. Let's shape the future together! • Apply data engineering principles to develop reusable workflows including ingestion, quality, transformation, and optimization. • Build scalable data pipelines using extract, transform, and load tools. • Deploy data solutions to production environments, ensuring seamless migration from legacy data warehouses. HERE'S WHAT YOU WILL NEED: • Master proficiency in Google Cloud Data Services. • Expert proficiency in Google BigQuery. • A minimum of 5 years of experience in relevant related skills. • Bachelor's Degree in a relevant field of studies. BONUS POINTS IF YOU HAVE: • Expert proficiency in Big Data Engineering

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