Data Engineer with GCP @ Square One Resources

2 weeks ago

Warsaw, Czech Republic Square One Resources Full time

Must-Have Requirements Strong hands-on experience with Google Cloud Platform (GCP) – mandatory Advanced knowledge of SQL and PL/SQL Proficiency in Python (Scala is a plus) Minimum 3 years of experience in a data-focused role (Data Analyst / Data Quality Analyst / Data Engineer) Solid understanding of data quality management and data governance practices Experience with ETL processes and real-time data processing Hands-on experience with Linux and bash scripting Practical knowledge of Apache Spark and Apache Kafka (Cloudera stack) Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Economics, or a related field Nice to Have Experience with CI/CD pipelines and automation tools Knowledge of metadata management and data quality frameworks Experience working with complex, multi-source data environments Background in international or multi-country data projects Strong communication skills and ability to translate technical topics into business language Fluent English (spoken and written) Proactive mindset, attention to detail, and willingness to continuously learn About the Client Our Client is one of the leading telecommunications operators in Poland, providing mobile telephony, internet, and advanced digital solutions. As part of a large international group, the company focuses on innovation, digital transformation, and continuous technology development to stay competitive in a rapidly evolving market. Project Description Long-term project focused on the migration of an Oracle Data Warehouse to Google Cloud Platform (GCP). You will join a data-focused team responsible for building modern, scalable data pipelines and ensuring high data quality in a cloud-based environment. ,[Build and maintain data ingestion processes from various source systems into a Data Lake , Design, develop, and optimize complex data pipelines ensuring reliable and efficient data flow , Create, enhance, and maintain frameworks supporting data pipeline development , Implement comprehensive testing frameworks for data pipelines , Collaborate closely with data analysts and data scientists to deliver high-quality, trusted data , Ensure strong data governance, security, and compliance practices , Research and implement new technologies to improve pipeline performance , Integrate data from diverse source systems such as Kafka, MQ, SFTP, databases, APIs, and file shares ] Requirements: GCP, Oracle, Google Cloud Platform, Data pipelines, Data Lake, Kafka, SFTP, Spark, SQL, PL/SQL, Python, Data science, ETL, Linux, Bash, Data management, Communication skills

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