Overview Prodapt is the largest specialized player in the Connectedness industry. As an AI-first strategic technology partner, we serve telecom and tech companies that are building networks and shaping the digital experiences of tomorrow. We deliver consulting, managed services, and business reengineering. Our strength comes from being both AI-first and Telco-native. Gartner recognizes Prodapt as a Large, Telecom-Native Regional IT Service Provider. This expertise allows us to provide tailored solutions that directly address industry challenges. Our focus is on being a customer-centric partner, fully aligning with our client's business goals and driving their success at every step. With over 6,000 Prodaptians across 30+ countries and backed by the 130-year legacy of the Jhaver Group, Prodapt combines a heritage of excellence with cutting-edge innovation. We are seeking a highly skilled GCP Hadoop Data Enginer who will play a pivotal role in designing, building, and managing the data architecture for our organization. The ideal candidate will collaborate with stakeholders to understand business data requirements and translate them into scalable, secure, and high-performance data solutions on Google Cloud Platform (GCP). This role is critical for organizations leveraging GCP to drive innovation through serverless and streaming data architectures, enabling advanced analytics, machine learning, and data science initiatives. Responsibilities Key Responsibilities • Solution Design & Architecture Design and implement scalable, reliable data pipelines for both batch and real-time streaming use cases. Architect cloud-native solutions leveraging GCP services to ensure high availability, performance, and cost efficiency. Develop embedded analytics platforms that deliver actionable insights within operational workflows. • Data Stack Development Constructing the Realtime data pipeline with quality metrics using GCp services with optimized way Construct Batch pipelines with suitable services Design and optimize streaming data architectures to process high-volume, high-velocity data streams in real time. • Advanced Analytics & Data Science Enablement Support machine learning and data science workflows including model development, deployment, and monitoring. Facilitate predictive analytics solutions to drive data-driven decision-making. • Application Architecture Collaboration Work closely with software development teams to align applications with data and analytics architecture. Define and enforce architectural standards and best practices that meet business needs. • Technology Leadership & Innovation Stay current with industry trends and emerging technologies in data engineering, cloud, and analytics. Provide thought leadership and mentor teams on best practices in data architecture and cloud solutions. Collaborate cross-functionally to deliver end-to-end data solutions. Requirements • Technical Expertise: Minimum 3+ years in Data Architecture and 5+ years hands-on with Google Cloud Platform (GCP). Deep experience with core GCP services such as BigQuery, Cloud Storage, Pub/Sub, Dataflow, Airflow, Spanner, Bigtable, Cloud SQL, Dataproc, and Cloud Composer. Proficiency in building and managing streaming data pipelines using Apache Kafka, Google Cloud Dataflow, and serverless technologies. Strong programming skills in Python, Java, and SQL. Experience with containerization and orchestration tools like Docker and Kubernetes on GCP. Familiarity with infrastructure automation tools such as Terraform and Google Cloud Deployment Manager. Expertise in data modeling, ETL/ELT pipelines, data migration, and data warehousing concepts. Knowledge of big data frameworks like Hadoop and Spark is a plus. Experience with embedded analytics platforms (e.g., Tableau Embedded, Power BI Embedded) and ML frameworks (e.g., TensorFlow, PyTorch) is desirable. Application Architecture: Strong understanding of microservices architecture, API management, and cloud-native application design. Soft Skills: Excellent analytical and problem-solving abilities. Strong communication skills with the ability to engage and manage stakeholders effectively. Ability to work in a fast-paced environment and juggle multiple priorities. Proven leadership in guiding technical teams and managing client relationships. Education & Certification: Bachelor’s degree in Computer Science, Information Technology, or related fields. Google Professional Cloud Architect certification is required. Preferred Experience: 10+ years in solution architecture or related data roles. Familiarity with data governance, security best practices, and compliance standards.
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