Role \:Data Pipeline Engineer
JD \: 65533 As a Data Pipeline Engineer, you will be an integral member of our Artificial Intelligence Analytics team responsible for design and development
65533 Help build the technical foundations of our Data Ingestion and Engineering team
65533 Be constantly challenged by tough engineering and design tasks
65533 Build inbound and outbound integration from various applications with our datalake
65533 Supports Big Data and batch/real time analytical solutions leveraging transformational technologies
65533 Build framework for 65533User authorization validation65533 on enterprise datalake using REST API services
65533 Enable users to perform CRUD operation on enterprise datalake using REST API services
65533 Build data profiling and ETL jobs using heterogeneous sources
65533 Partner with data analyst, product owners and data scientists, to better understand requirements, finding bottlenecks, resolutions, etc.
65533 Design and develop different architectural models for our scalable data processing and profiling and create certified feature sets to be consumed by our data science team
65533 Create complex integrations, between data governance platform and Hadoop Data Lake, SAP Google BigQuery, Salesforce etc.
65533 Enable users to access enterprise wide data definitions and business glossary using REST API services
65533 Have basic level of expertise in the areas of data governance, data quality, MDM, information management, metadata management and information exchange
65533 You will have the ability to research and assess open source technologies and components to recommend and integrate into the design and implementation
65533 You will also have opportunity to work closely with our data science team and work on various business critical predictive usecases
Join our dynamic team of Virtusa’s best as we build on an industry-leading company that supports safety, integrity, continuous improvement and customer focus. We are always looking for passionate and dedicated people to join our team. Let us know about you!
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