Responsibilities
Lead a team of engineers and senior engineers along with analysing and troubleshooting architecture related issues
Architect highly scalable big data integration and transformation platform processing high volume of data under defined SLA
Create and build the platform that includes ingestion and transformation of data, data governance, machine learning, analytics and consumer insights.
Should be able to solve complex problems innovatively.
Should stay abreast with latest cutting edge tools/technologies and software development practices.
Manage the platform which is a combination of a large scale near-real time data pipeline and over 100 microservices.
As a part of Security, Availability and Confidentiality Requirements, you will responsible for protecting the credentials and client data.
Education and Experience Requirement
BE/B. Tech/ME/M. Tech, or equivalent practical experience.
Experience designing and architecting highly reliable and scalable data pipelines
7 years Java and Spring Boot experience
3 years working in Big Data and related technologies
2 years functioning in a team lead role
Experience in a variety of relevant technologies including Streaming, NoSQL databases, Hive
Presto, Hadoop, Docker, Microservices architecture
AWS cloud experience (EC2, S3, Lambda, EMR, RDS, Redshift, Athena, Glue)
Excellent communication and collaboration skills
Highly motivated, curious, capable and a lifetime learner
Education: ME/ M.Tech./ MS (Engg/ Sciences)r r r r r r r BE/ B.Tech (Engineering)
Industry: IT-Hardware/Networking, Telecom
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