Senior PySpark Data Engineer

Project descriptionWe are hiring for projects in the Middle East. The team comprises front-end and back-end developers, data analysts and data scientists, architects, analysts, and project managers. You will work with modern technologies and be an integral part of continuing to evolve our high-performing platforms. If you are serious about being a part of this fast-paced and exciting journey, this project should be top of the list! This role will be primarily responsible for closely collaborating with a business SME to implement data validation rules.ResponsibilitiesCollaborating with a business SME to implement data validation rules.Understand business requirements and actively provide input from a data perspective.Understand the underlying data and flow of data.Understand overall platform architecture and capabilities and how to load data effectively.Recognize and adapt to the changes in processes.

SKILLSMust have7 years + of relevant experience.Proficient hands-on experience with PySpark-based data platforms: Databricks, Cloudera, Apache Spark, etc. (3y+).Proficiency in Python and PySpark (5y+).Advanced knowledge in SQL (5y+).Should be able to analyse and understand complex data.Knowledge of Azure data/delta lake, Azure DevOps, CI/CD, and Git is essential.Should clearly understand the data platform lifecycle and contribute to preparing Design documents, Unit Test plans, and Code review reports.Knowledge of data Lake house and business intelligence architecture.Experience working in an Agile environment (Scrum, Agile) is a plus.Interpersonal/communication skills (both oral/written) with the ability to communicate at various levels with clarity & precision.Bachelor's degree in IT/Computer Science or related field.

Nice to haveKnowledge of the financial markets, portfolio theory, and risk management is a plus.

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