Work from Office
Full Time
Bachelor or Master or Doctorate degree in maths, statistics, computer science, information management Work Experience 4-5 years experience working in Data Engineering and Data Warehousing. Technical / Professional Skills Please provide at least 3 Hands On with advanced SQL, Python etc. Hands On in data profiling Hands On in working on Cloud like Azure and Cloud DW like Databricks Hands On experience on Scheduling tools like Airflow, Control M etc. Knowledgeable on Big Data tools like Spark (python/scala), Hive, Impala, Hue and storage (e.g. HDFS, HBase) Knowledgeable in CICD processes BitBucket/GitHub, Jenkins, Nexus etc. Knowledgeable managing structured and unstructured data types. Non-Technical / Soft Skills Experience in working with a team of data engineers working from different locations in different time zones. Excellent communication. Effective prioritisation Pragmatic stakeholder management. Other Task-Specific Knowledge Proficient in Excel, Word, and PowerPoint. Ability to prioritise and manage to multiple concurrent activities
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