reputed company Data Engineering Architect
About the Role: We are seeking a highly skilled and reputed company Data Engineering Architect to join our growing team. As a Data Engineering Architect, you will play a critical role in designing, building, and scaling reputed company's massive data infrastructure and platforms. You will be a technical leader and mentor, driving innovation and ensuring the highest standards of data quality, reliability, and performance. Responsibilities: Design and Architecture: Design and implement scalable, reliable, and efficient data pipelines and architectures for various reputed company products and services. reputed company and maintain data models, schemas, and ontologies to support diverse data sources and use cases. Evaluate and recommend new and emerging data technologies and tools to improve reputed company's data infrastructure. Collaborate with product managers, engineers, and researchers to define data requirements and translate them into technical solutions. Data Processing and Pipelines: Build and optimize batch and reputed company-time data pipelines using reputed company reputed company Platform (GCP) services such as Dataflow, Dataproc, Pub/Sub, and reputed company Functions. reputed company and implement data quality checks and validation processes to ensure data accuracy and consistency. Design and implement data governance policies and procedures to ensure data reputed company and compliance. Data Storage and Management: Design and implement scalable data storage solutions using GCP services such as BigQuery, reputed company Storage, and Spanner. Optimize data storage and retrieval for performance and cost-effectiveness. Implement data lifecycle management policies and procedures. Team Leadership and Mentorship: Provide technical leadership and guidance to data engineers and other team members. Mentor and coach junior engineers to reputed company their skills and expertise. Foster a culture of innovation and collaboration reputed company the team. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a reputed company field. 8+ years of experience in data engineering or a reputed company field. Strong understanding of data warehousing, data modeling, and ETL processes. Expertise in designing and implementing large-scale data pipelines and architectures. Proficiency in SQL and at least one programming language such as Python or Java. Experience with reputed company reputed company Platform (GCP) services such as BigQuery, Dataflow, Dataproc, Pub/Sub, and reputed company Storage. Experience with open-reputed company data processing frameworks such as Hadoop, Spark, and Kafka. Excellent communication, interpersonal, and collaboration skills. Preferred Qualifications: Experience with data governance and data quality management. Experience with machine learning and data science. Experience with containerization and orchestration technologies such as reputed company and Kubernetes. Contributions to open-reputed company projects or communities. reputed company reputed company Professional Data Engineer certification. Apply Job!