Hyderabad, Georgia, India
7 days ago
Senior Professional,Data Analysis
Job Description Job Purpose Responsible for developing and maintaining data integrations between ICE and our client’s systems. Develops processes to convert data and prepares data for conversion through data mapping, modeling, and cleaning. This role will work closely with their team lead, as well as a US based Data Support team, to create and maintain the data sets used to drive product growth and adoption within the ICE ecosystem. Responsibilities Implement complex data mapping and transformation according to technical, business, and operational requirements for all data feeds Manage and monitor various alerting queues to ensure system performance, and escalate issues as they arise Perform data analysis across multiple data sources to determine root causes for suspected data quality issues Partner with the US based Data Support team to monitor and enhance data quality Become a Subject Matter Expert on ICE data definitions and data models, as well as the RESO Data Standard Gain basic knowledge of data processes and information systems used to ingest and transform managed data sets Performs other related duties as assigned Knowledge and Experience Proficiency in standard office software, such as MS Office, MS Word, MS Excel, etc. Experience in a data quality or data compliance role Experience with data mapping/transformation Team oriented – ability to build departmental and cross-functional relationships High degree of creative, analytical, and problem-solving skills Proficient written and oral communication skills Preferred Experience working with Multiple Listing Service (MLS) or real estate data Knowledge of the Real Estate Standards Organization (RESO) Data Dictionary Experience with oData/webAPI and DMQL/RETS Knowledge of JSON Experience working with large data sets Understand the integrity of data, including data extraction (ETL), manipulation, analysis, and reporting Experience with Elasticsearch/AWS Opensearch Schedule This role offers work from home flexibility of one day per week.
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