Data Engineer

Role Description This role deals with multiple complex data sets to accelerate operational and strategic data oriented decision-making, Understand the opportunities and business drivers building insight and solutions for those through data in agile methodologies. Work with a variety of product owners, scrum masters and development teams across different time zones. Come up new ideas to drive data engineering projects to build various data sets for analytical use cases. Be part of the development team, responsible for the quality of its technical deliverables Must Have Skills Bachelor's degree from four-year College or university in Computer Science or related field. 3+ years of full-time data engineering/analytics experience Enterprise experience with GCP services like storage&database , data processing and secondary services using including BigQuery, Cloud SQL. , Bigtable, , Pub/Sub, Cloud Composer, Dataflow, Dataproc, Dataprep, Data Studio, Bigtable, Cloud Storage, file store, Cloud VM, Composer and more. Understand different types of storage (filesystem, relational, NoSQL) and working with various kinds of data (structured, unstructured, metrics, log files, etc.) Experience with data pipelines (ETL, ELT) and data wrangling procedures using Python and SQL. Tune application and query performance using performance profiling tools and SQL Experience with batch and stream processing (including GCP Dataflow/Kafka Streams) Working knowledge of data visualization tools such as Looker and Tableau is a plus. Familiarity with agile software development practices and drive to ship quickly. Research, analyze, and recommend technical approaches for solving difficult and challenging development and integration problems. Responsible for maintenance and enhancement of data platform which involves adding various operators for carrying out tasks in Apache Airflow Identify, design and implement internal process improvements by automating manual processes and optimizing data delivery Nice-to-Have Technical certifications such as Google Cloud Data Engineer or advanced certifications in data science a plus. Experience with microservice patterns, API development, RESTful web services. Experience with data science models using AI/ML What to expect from Pearson Did you know Pearson is one of the 10 most innovative education companies of 2022? At Pearson, we add life to a lifetime of learning so everyone can realize the life they imagine. We do this by creating vibrant and enriching learning experiences designed for real-life impact. We are on a journey to be 100 percent digital to meet the changing needs of the global population by developing a new strategy with ambitious targets. To deliver on our strategic vision, we have five business divisions that are the foundation for the long-term growth of the company: Assessment & Qualifications, Virtual Learning, English Language Learning, Workforce Skills and Higher Education. Alongside these, we have our corporate divisions: Digital & Technology, Finance, Global Corporate Marketing & Communications, Human Resources, Legal, Strategy and Direct to Consumer. Learn more at We value the power of an inclusive culture and also a strong sense of belonging. We promote a culture where differences are embraced, opportunities are accessible, consideration and respect are the norm and all individuals are supported in reaching their full potential. Through our talent, we believe that diversity, equity and inclusion make us a more innovative and vibrant place to work. People are at the center, and we are committed to building a workplace where talent can learn, grow and thrive.