Data Engineer

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Description

Job Responsibilities Develop and maintain data pipelines to process data from APIs, databases, files and other sources. Build and support automated data-processing jobs, ETL/ELT workflows and serverless functions. Develop and maintain APIs and data services for application and analytics requirements. Monitor data pipelines, troubleshoot failures and improve processing performance. Ensure data accuracy, quality, security and reliability. Support data storage, archival, recovery and cloud migration activities. Optimise data models, queries and data-processing workflows. Work with technical teams to maintain system performance and reliability. Prepare and maintain technical documentation and deployment procedures. Job Requirements Degree in Computer Science, Information Systems, Data Engineering or a related field. At least 4 years of relevant data engineering experience. Strong programming skills in Python and SQL. Hands-on experience with cloud data services, databases, APIs and data pipelines. Knowledge of ETL/ELT, data quality, automation and CI/CD processes. Understanding of cloud computing, data security and system monitoring. Experience with AWS is an advantage, with familiarity or adaptability to GCP or other cloud platforms preferred. com or click apply! **We regret to inform that only shortlisted candidates would be notified** EA L

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