Top Tech Jobs & Startup Jobs in Los Angeles, CA

Design and architect big-data solutions and data marts; analyze upstream/downstream data needs; use MongoDB, Hadoop ecosystem (HDFS, Hive, Storm), SQL and BI tools for data profiling; review code, liaise with business and IT stakeholders, and support ETL/integration. Azure exposure preferred; Spark is a plus.

Senior MicroStrategy developer responsible for developing reports, dashboards and documents, supporting BI/DW environments, analyzing systems, designing reporting strategies, working with business and IT teams, resolving user issues quickly, and supporting offshore developers in a development/support mix.

Lead ETL developer responsible for designing, developing, and building Informatica-based ETL solutions within DW/BI projects. Participate across project lifecycle, development, maintenance, and data warehouse/BI activities, ensuring delivery of ETL mappings and integrations.

Design and architect Big Data solutions on Azure/HDInsight and NoSQL (MongoDB). Lead data modeling, data marts, ETL/integration, and analytics profiling. Implement and review Spark, Kafka, Storm, HDFS, Hive code. Liaise with business stakeholders, perform assessments, and ensure data quality and downstream/upstream requirements. Work in a consulting environment with regular travel.

Architect and oversee end-to-end telematics systems, provide technical leadership to cross-functional teams, define standards and designs, guide integration (BPM/ESB), cloud, NoSQL, J2EE and mobile solutions, and drive build/release, testing, and troubleshooting for enterprise-scale applications.

Architect and oversee end-to-end telematics systems; lead technical teams, design solutions to meet architecture standards, conduct technical and functional assessments, establish coding and release best practices, research emerging technologies, and guide development and testing processes without day-to-day coding responsibilities.

Design and architect business processes and Big Data solutions. Develop, configure, validate and deploy Hadoop/Hive solutions. Lead project and talent management, consult on problem definition, and support client engagements that require regular travel.

Design and architect big data solutions using Hadoop, Azure HDInsight, Spark, Kafka, Storm, Hive and NoSQL. Lead data modeling, marts, ETL/integration, data profiling and code review. Liaise with business units and stakeholders, provide technical assessments and solution reviews, and support analytics data pipelines in a consulting environment with regular travel.

Lead development on Big Data and NoSQL solutions using Storm, Spark, HDFS and Hive. Design and analyze upstream/downstream data needs, write and review Java code, run SQL analyses, liaise with cross-functional teams, and ensure data quality. Azure cloud exposure preferred.

Design and architect big-data solutions; analyze upstream/downstream data needs; build/validate data marts and dimensional models; work with MongoDB, HDFS, Hive, Storm; perform SQL-based profiling; review code; liaise with business stakeholders; support ETL/integration; Azure exposure preferred; regular travel in consulting environment.