Cloudera Data Engineer

NETS is a leading global Solutions Provider and Systems Integrator dedicated empowering the future through our integrated approach and commitment to delivering Innovative, Intelligent, and Integrated Solutions (NETS 3 I’s) Effectively, Efficiently, and Economically (NETS 3 E’s). Our service portfolio covers 3 verticals namely Infrastructure, Digital, and Managed Solutions, and NETS Services include Access Networks (Fixed and Wireless), Enterprise Data Networks, Cloud Solutions, Cyber Security, Automation, Resource Outsourcing, and Managed Services.NETS brings over 4 decades of proven domain expertise, service specialization, and industry leadership, delivering over 3,000+ successful projects. Our 1,000+ highly skilled & professional staff, collaboration with over 50 leading global technology partners, 100+ NETS OEM Partners, and NETS Reach, with offices in the UK, UAE, USA, Saudi Arabia, and Pakistan, has allowed us to be the preferred trusted partner to over 200 long-standing satisfied customers including fortune 500 companies across 25+ countries.Job Description We are seeking an experienced Data Engineer with 8-10 years of hands-on experience in data engineering, particularly in big data projects. The ideal candidate will have a strong background in various big data technologies such as Hadoop, HBase, Kafka, Hive, Spark. They should also be proficient in programming languages like Python, Scala, or Java and have extensive experience in building and managing data pipelines, migrations, and analytics pipelines in cloud environments such as AWS, Azure, or Google Cloud. Additionally, the candidate should have exposure to artificial intelligence, machine learning, natural language processing, and possess strong leadership qualities.Responsibilities: Design, develop, and maintain big data solutions using technologies like Hadoop, HBase, Kafka, Hive, Spark, Scala, Python, R, Tensor Flow, etc.Develop and manage data pipelines, migrations, and analytics pipelines in on-premise and cloud environments (Cloudera, AWS, Azure, Google Cloud).Utilize open-source kernels and understand distributed compute, distributed storage, serverless, and extremely scalable architectures.Collaborate with cross-functional teams to design and implement scalable and efficient data solutions.Stay updated with the latest trends and advancements in big data technologies and integrate them into existing systems where applicable.Conduct data modeling and analysis to optimize data storage and retrieval processes.Provide leadership and mentorship to junior team members.Communicate effectively with stakeholders to understand requirements and present solutions.Requirements Bachelor's degree in Computer Science, Information Systems, Business, or related field.8-10 years of experience in data engineering with a focus on big data projects.Proficiency in programming languages like Python, Scala, or Java.Strong hands-on experience with big data technologies such as Hadoop, HBase, Kafka, Hive, Spark, etc.Experience working with open-source kernels and understanding of distributed compute, distributed storage, serverless, and extremely scalable architectures. #J-18808-Ljbffr