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data engineer-analyst.

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    job details
    Accountabilities• Data Pipeline - Develop and maintain scalable data pipelines and builds out new API integrations tosupport continuing increases in data volume and complexity• Data Integration - Connect offline and online data to continuously improve overall understanding ofcustomer behavior and journeys for personalization. Data pre-processing including collecting, parsing,managing, analyzing and visualizing large sets of data• Data Quality Management - Cleanse the data and improve data quality and readiness for analysis. Drivestandards, define and implement/improve data governance strategies and enforce best practices to scaledata analysis across platforms• Data Transformation - Processes data by cleansing data and transforming them to proper storagestructure for the purpose of querying and analysis using ETL and ELT process• Data Enablement - Ensure data is accessible and useable to wider enterprise to enable a deeper and moretimely understanding of operationQualifications & Specifications• Masters /Bachelor’s degree in Engineering /Computer Science/ Math/ Statistics or equivalent.• Strong programming skills in Python/R/SAS• Proven experience with large data sets and related technologies – SQL, NoSQL, Google / AWS Cloud,Hadoop, Hive, Spark• Excellent understanding of computer science fundamentals, data structures, and algorithms• Data pipeline software - Airflow, RJ Metrics, Segment, Amazon Data Pipeline, Apache Pig• ETL software’s - Amazon RedShift, CA Erwin Data Modeler, Oracle Warehouse Builder, SAS DataIntegration Server, Pentaho Kettle, Apatar• Hands-on experience and knowledge of the Data Lake technology
    Accountabilities• Data Pipeline - Develop and maintain scalable data pipelines and builds out new API integrations tosupport continuing increases in data volume and complexity• Data Integration - Connect offline and online data to continuously improve overall understanding ofcustomer behavior and journeys for personalization. Data pre-processing including collecting, parsing,managing, analyzing and visualizing large sets of data• Data Quality Management - Cleanse the data and improve data quality and readiness for analysis. Drivestandards, define and implement/improve data governance strategies and enforce best practices to scaledata analysis across platforms• Data Transformation - Processes data by cleansing data and transforming them to proper storagestructure for the purpose of querying and analysis using ETL and ELT process• Data Enablement - Ensure data is accessible and useable to wider enterprise to enable a deeper and moretimely understanding of operationQualifications & Specifications• Masters /Bachelor’s degree in Engineering /Computer Science/ Math/ Statistics or equivalent.• Strong programming skills in Python/R/SAS• Proven experience with large data sets and related technologies – SQL, NoSQL, Google / AWS Cloud,Hadoop, Hive, Spark• Excellent understanding of computer science fundamentals, data structures, and algorithms• Data pipeline software - Airflow, RJ Metrics, Segment, Amazon Data Pipeline, Apache Pig• ETL software’s - Amazon RedShift, CA Erwin Data Modeler, Oracle Warehouse Builder, SAS DataIntegration Server, Pentaho Kettle, Apatar• Hands-on experience and knowledge of the Data Lake technology