Top Data Engineer Jobs in Bengaluru, KA

Looking for a Data Architect with 15+ years of experience in Data Engineering and Analytics domain. Responsibilities include architecting and building robust data solutions on cloud platforms, designing data models and structures, building data pipelines, and delivering analytical solutions using various tools. Preferred experience in Healthcare industry data model.

Senior Data Visualization Developer responsible for designing and implementing solutions to enable efficient decision-making for clients and business partners. Must have expertise in AWS QuickSight, Tableau, and Power BI, and collaborate with data engineers and stakeholders to develop and execute data processes.

As a Principal Big Data Architect at Applied Materials, you will lead the design, implementation, and optimization of data solutions. Responsibilities include negotiating with customers, managing data architecture, optimizing data pipelines, and building Apache Spark applications for big data processing and analytics.

Seeking an experienced Data Architect to design, develop, and maintain a multi-cloud data architecture at 66degrees. Responsibilities include designing scalable data architecture, developing data models, implementing ETL processes, and collaborating with other teams. Qualifications require expertise in multi-cloud platforms, data architecture, data engineering, cloud-native technologies, data governance, and cloud migration.

Passionate Data Architect with strong problem-solving skills and analytical skills. Responsible for delivering modern data solutions including data ingestion, data pipeline design, data warehouse & data lake architectures, cognitive computing, and cloud services.

Lead Data Architecture Specialist shaping data management and analytics strategy, designing scalable data architectures, enforcing data governance, optimizing performance, leading data integration solutions, and providing team leadership. Requires deep expertise in data architecture principles and 12+ years of experience.

Design and implement master data components for analytical and operational projects, collaborate with project teams on MDG architecture, transfer knowledge to support resources, and engage with stakeholders to deliver solutions across multiple objects.

Designing and implementing data ingestion pipelines, presenting proofs of concept, developing scalable frameworks, ensuring data quality, working with event-based technologies, analyzing requirements, evaluating tools, and more.