Data Engineer

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Description

Data Engineer Design and develop data pipelines: • Design and implement scalable and efficient data integration solutions. • Develop and maintain data pipelines using batch and real-time processing techniques. • Optimize data pipelines for performance and scalability. Support data analytics initiatives: • Collaborate with data analysts and scientists to understand data requirements. • Transform business requirements into technical specifications for data pipelines. • Develop and maintain data models and schemas to enable efficient data analysis. • Implement data quality checks and data governance practices. Ensure data quality and integrity: • Identify and resolve data quality issues within the data ecosystem. • Implement data governance practices to ensure consistent, reliable, and accurate data. Collaborate with cross-functional teams: • Work closely with data scientists, analysts, and software engineers to understand data requirements and use cases. • Collaborate with database administrators and infrastructure teams to optimize data storage and processing. • Provide technical guidance and support to less experienced data engineers. Strong data engineering skills: • Expertise in designing and implementing data pipelines and workflows. • Demonstrated experience with batch and real-time data processing frameworks. Data modelling and database skills: • Solid understanding of data modelling techniques and best practices. • Experience with relational (e.g., MSSQL, MySQL, Postgre

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