Virtusa
Data Engineer
Job Description
Good understanding of the Hadoop Ecosystem, Spark, and Cloudera.
Should worked on NoSQL databases like Mongo DB, Document DB, and Graph Databases.
Must have experience in building data pipeline for real time streaming data and data analytics using azure cloud components like Azure Data Factory, Graph DB, Azure ML studio, Azure stream analytics.
Good understanding of Data Architect with experience in architecture, application design, and systems engineering, while implementing automation and agile methodologies.
Skilled in collaborating with business stakeholders to align data pipelines with business requirements, design data models, and optimize queries.
Practical understanding of Data Modelling (Dimensional & Relational).
Experience working with Azure and AWS cloud services.
Design and installation of data processing pipelines and migration of existing Data warehouse systems.
Understanding of working with CI/CD using tools like Jenkins, GitHub, or Azure DevOps.
Designed and developed the Asset Management Knowledge Graph.
Re-designed some parts of our legacy application to make it cloud-ready.
Develop template loaders for Enterprise Asset Management.
Implement data import jobs to ingest large volume of data into our application from multiple sources.
Skills:
Tools: MongoDB, IBM DB2, Hashicorp Vault, Amazon S3, New Relic, Docker, Airflow, Neo4j
Programming Languages /Frameworks: Java, Spring Boot, JavaScript, ReactJS
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