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5 - 10 years

25 - 30 Lacs

Posted:12 hours ago| Platform: Naukri logo

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Job Description

Req ID: 306669 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Lead Data Engineer to join our team in Bangalore, Karn taka (IN-KA), India (IN). Position Overview: We are seeking a highly skilled and experienced Lead Data/Product Engineer to join our dynamic team. The ideal candidate will have a strong background in streaming services and AWS cloud technology, leading teams and directing engineering workloads. This is an opportunity to work on the core systems supporting multiple secondary teams, so a history in software engineering and interface design would be an advantage. Key Responsibilities Lead and direct a small team of engineers engaged in: - Engineering reuseable assets for the later build of data products - Building foundational integrations with Kafka, Confluent Cloud and AWS - Integrating with a large number of upstream and downstream technologies - Providing best in class documentation for downstream teams to develop, test and run data products built using our tools - Testing our tooling, and providing a framework for downstream teams to test their utilisation of our products - Helping to deliver CI, CD and IaC for both our own tooling, and as templates for downstream teams Required Skills and Qualifications - Bachelors degree in Computer Science, Engineering, or related field - 5+ years of experience in data engineering - 3+ years of experience with real time (or near real time) streaming systems - 2+ years of experience leading a team of data engineers - A willingness to independently learn a high number of new technologies and to lead a team in learning new technologies - Experience in AWS cloud services, particularly Lambda, SNS, S3, and EKS, API Gateway - Strong experience with Python - Strong experience in Kafka - Excellent understanding of data streaming architectures and best practices - Strong problem-solving skills and ability to think critically - Excellent communication skills to convey complex technical concepts both directly and through documentation - Strong use of version control and proven ability to govern a team in the best practice use of version control - Strong understanding of Agile and proven ability to govern a team in the best practice use of Agile methodologies Preferred Skills and Qualifications - An understanding of cloud networking patterns and practises - Experience with working on a library or other long term product - Knowledge of the Flink ecosystem - Experience with terraform - Experience with CI pipelines - Ability to code in a JVM language - Understanding of GDPR and the correct handling of PII - Knowledge of technical interface design - Basic use of Docker

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