Qualifications and/or background in data management or data engineering are essential for this role. Proficiency in Linux commands and shell scripting is a requirement. Additionally, candidates should possess knowledge and/or experience in relational databases (including SQL) or NoSQL databases (e.g., document, graph). Those with expertise in any of the following areas will have a distinct advantage: Data/Search/Automation platforms like Hadoop, Elasticsearch, and Ansible, as well as familiarity with data integration tools such as Talend, DataStage, and Denodo. Knowledge of programming languages such as Python and Spark is highly valued. Experience with Microsoft Azure Cloud services, including Azure Data Factory and Azure Synapse Analytics, is a significant plus. Familiarity with analytics platforms like Databricks, Dataiku, and Data Robot is also beneficial. If you bring these skills and are ready to contribute to our dynamic team, we encourage you to apply.
Please apply with you updated resume. We regret that only those who make the short list will be notified, and we look forward to getting in touch with you again if there are any openings that turn out to be more suited.
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