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Spark, Java, Kafka- Hyderabad

Spark, Java, Kafka- Hyderabad

Cognizant

10 - 16 years

0 Lacs

hyderabad all india

Posted:1 week ago| Platform: Shine logo

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Skills Required

java spark kafka

Work Mode

On-site

Job Type

Full Time

Job Description

As a Data Engineer at our company, your role will involve supporting in designing and implementing the data architecture and infrastructure necessary for extracting, transforming, and loading data from various sources. Your responsibilities will include: - Identifying data sources, designing data schema/models, and integrating data to meet the requirements of business stakeholders. - Playing a key role in delivering AI solutions end-to-end, from ideation to data preparation and industrialization. - Collaborating with business, IT, and data stakeholders to address data-related technical issues and build a flexible and scalable data platform. - Focusing on DataOps, you will design, develop, and deploy scalable batch and/or real-time data pipelines. - Documenting, testing, and deploying ETL/ELT processes. - Balancing performance, reliability, scalability, and cost considerations in the data pipelines you implement. - Monitoring data processing efficiency and suggesting improvements. - Maintaining comprehensive project documentation and sharing knowledge with colleagues while coaching junior team members. The required qualifications for this role include expertise in Java, Spark, and Kafka, along with 10 to 16 years of relevant experience. This position is based in Hyderabad. As a Data Engineer at our company, your role will involve supporting in designing and implementing the data architecture and infrastructure necessary for extracting, transforming, and loading data from various sources. Your responsibilities will include: - Identifying data sources, designing data schema/models, and integrating data to meet the requirements of business stakeholders. - Playing a key role in delivering AI solutions end-to-end, from ideation to data preparation and industrialization. - Collaborating with business, IT, and data stakeholders to address data-related technical issues and build a flexible and scalable data platform. - Focusing on DataOps, you will design, develop, and deploy scalable batch and/or real-time data pipelines. - Documenting, testing, and deploying ETL/ELT processes. - Balancing performance, reliability, scalability, and cost considerations in the data pipelines you implement. - Monitoring data processing efficiency and suggesting improvements. - Maintaining comprehensive project documentation and sharing knowledge with colleagues while coaching junior team members. The required qualifications for this role include expertise in Java, Spark, and Kafka, along with 10 to 16 years of relevant experience. This position is based in Hyderabad.

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Spark, Java, Kafka- Hyderabad