Job Overview
Analyze and understand data sources & APIs Design and Develop methods to connect & collect data from different data sources Design and Develop methods to filter/cleanse the data Design and Develop SQL , Hive queries, APIs to extract data from the store Work closely with data Scientists to ensure the source data is aggregated and cleansed Work with product managers to understand the business objectives Work with cloud and data architects to define robust architecture in cloud setup pipelines and work flows Work with DevOps to build automated data pipelines Total Experience Required 4 The candidate should have performed client facing roles and possess excellent communication skills Business Domain knowledge: Finance & banking systems, Fraud, Payments Required Technical Skills Big Data-Hadoop, NoSQL/HBase, Hive, Apache Spark, PySpark Python Java & REST GIT and Version Control Desirable Technical Skills Familiarity with HTTP and invoking web-APIs Exposure to machine learning engineering Exposure to NLP and text processing Experience with pipelines, job scheduling and workflow management Personal Skills Experienced in managing work with distributed teams Experience working in SCRUM methodology Proven sense of high accountability and self-drive to take on and see through big challenges Confident, takes ownership, willingness to get the job done Excellent verbal communications and cross group collaboration skills
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