Big Data Cloud Architect

8 - 12 years

0 Lacs

Posted:2 days ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

As an experienced Big Data Cloud Architect, you will be responsible for designing and implementing scalable big data solutions on Azure and AWS. Your deep expertise in cloud-based big data technologies and strong background in the software development life cycle will be essential for this role. Key Responsibilities: - Design, build, and maintain scalable big data architectures on Azure and AWS. - Select and integrate big data tools and frameworks such as Hadoop, Spark, Kafka, Azure Data Factory. - Lead data migration from legacy systems to cloud-based solutions. - Develop and optimize ETL pipelines and data processing workflows. - Ensure data infrastructure meets performance, scalability, and security requirements. - Collaborate with development teams to implement microservices and backend solutions for big data applications. - Oversee the end-to-end SDLC for big data projects, from planning to deployment. - Mentor junior engineers and contribute to architectural best practices. - Prepare architecture documentation and technical reports. Required Skills & Qualifications: - Bachelors/Masters degree in Computer Science, Engineering, or related field. - 8-12 years of experience in big data and cloud architecture. - Proven hands-on expertise with Azure and AWS big data services such as Azure Synapse, AWS Redshift, S3, Glue, Data Factory. - Strong programming skills in Python, Java, or Scala. - Solid understanding of SDLC and agile methodologies. - Experience in designing and deploying microservices, preferably for backend data systems. - Knowledge of data storage, database management (relational and NoSQL), and data security best practices. - Excellent problem-solving, communication, and team leadership skills. Preferred Qualifications: - Certifications in AWS and/or Azure cloud platforms. - Experience with Infrastructure as Code (e.g., Terraform, CloudFormation). - Exposure to containerization (Docker, Kubernetes) and CI/CD pipelines. - Familiarity with data analytics, machine learning, and event-driven architectures. Join us to work with cutting-edge cloud and big data technologies, lead impactful projects, and be part of a collaborative and innovative team environment. Apply now to drive the next generation of cloud-based big data solutions!,

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