Hadoop, ETL Pipelines ,Kubernetes and AWS with Python : Local to Bay Area CA :

Title:DataOps Engineer Location: Sunnyvale, CA (Hybrid) Duration: 6 months (possibility of extension) Implementation Partner: Infosys End Client: To be disclosed JD:Minimum Years of Experience: 8+ yearsCore Qualifications:Solid background in Hadoop ecosystems, ETL pipeline construction, Kubernetes, and AWS architecture.Nice-to-Have:Python programming skills.

Job Title: Senior Software Engineer Data Infrastructure (Python | AWS/Google Cloud Platform | Kubernetes) Location: Redwood City, CA (On-site) We are seeking an experienced Software Engineer Data Infrastructure to build scalable data platforms that support AI/ML applications. This role focuses on designing distributed data pipelines, processing large-scale multimodal data, and developing tools that improve data quality, visualization, and model evaluation. Responsibilities: Build and ma

Job Title: AWS Data Engineer Location: Foster City, CA/Raleigh, NC || Onsite Job Type: Contract Job Description: Qualifications: This position requires a Bachelor's Degree in Computer Science or a related technical field, and 5+ years of relevant employment experience 10+ years of work experience with ETL, Data Modeling, and Data Architecture Expert-level skills in writing and optimizing SQL Expertise in ETL optimization, designing, coding, and tuning big data processes using Apache Spark or s

Big Data EngineerLocation: San Jose, CA, USA (Hybrid/Remote) Job Type: Full-Time About the RoleWe are seeking a highly skilled Big Data Engineer to design, develop, and maintain scalable big data solutions that process large volumes of structured and unstructured data. You will collaborate with Data Engineers, Data Scientists, and Software Engineers to build reliable data pipelines and support advanced analytics initiatives. Key ResponsibilitiesDesign, build, and maintain scalable big data pipel