Data Engineer @ Ocado Technology
(práce v Polsku)

Data Engineer @ Ocado Technology

Polsko

• Proven experience as a Data Engineer or similar role.
• Strong proficiency in SQL and experience with Google BigQuery.
• Solid understanding of data modelling, ETL processes, and Big Data concepts.
• Experience with data integration and transformation tools.
• Familiarity with cloud-based data storage and processing (preferably Google Cloud Platform).
• In-depth knowledge and experience with the most advanced features of BigQuery.
• Strong analytical and problem-solving skills.

What will make you stand out:

• In-depth knowledge and experience with the most advanced features of BigQuery
• Some programming experience (Java or Python)

We are seeking a skilled and experienced BigQuery Data Engineer to join our dynamic team. As a BigQuery Data Engineer at Ocado Technology, you will play a crucial role in managing BigQuery data at all stages of the lifecycle, identifying inefficiencies and waste, and optimising the utilisation of BigQuery resources across the organisation. Additionally, you will be responsible for leveraging the most advanced features of BigQuery and ensuring the implementation of cutting-edge solutions and delivery of valuable insights to the rest of the organisation. 

,[Design, develop, and maintain BigQuery data pipelines and workflows, utilising the most advanced features of BigQuery., Collaborate with cross-functional teams to understand data requirements and ensure data integrity., Identify opportunities for performance optimization and implement solutions to enhance efficiency., Build tools that drive the organisation towards maturity in FinOps practices., Develop and implement effective data retention strategies in compliance with organisational policies and regulations., Utilise the latest advancements in BigQuery to deliver cutting-edge solutions and enhance overall data engineering capabilities., Troubleshoot and resolve data-related issues in a timely manner., Stay current with industry trends and best practices to continually enhance data engineering capabilities., Work closely with data scientists and analysts to understand data needs and support data-driven decision-making.] Requirements: Python, SQL, Java Additionally: Free coffee, Bike parking, Playroom, Shower, Free parking, Modern office, No dress code, Free breakfast.

Kategorie

data

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