Senior Software Engineer - Data License Analytics, Pune Location Pune Business Area Engineering and CTO Ref # 10052669 Description & Requirements About the Team Data License is Bloombergs enterprise data delivery platform, powering financial institutions worldwide
Come work at a place where innovation and teamwork come together to support the most exciting missions in the world! Description: We are seeking a talented Sr. Big Data Engineer to deliver roadmap features of Enterprise
Come work at a place where innovation and teamwork come together to support the most exciting missions in the world! Job Summary Qualys is seeking a Staff Big Data Engineer to define and drive the technical
Sr. No. Category Description 1 Education Any graduate but preferably B.E./B.Tech/MCA in Computer Science 2 Experience 4-6+ Years experience specially in Solr Database 3 Mandatory Skills/Knowledge 4-6+ yrs of experience working with Apache Lucene -SOLR Experience in Apache Solr installation, configuration,
Description About the Role Our Drupal developers are able to demonstrate a strong and developing Drupal-focused skillset, and the associated best practices, combining their skillset across the following areas: As part of your day to day
We are seeking a highly motivated and experienced Java/React Full Stack Developer to join our dynamic team. The ideal candidate will have extensive experience in designing, developing, and deploying end-to-end solutions, encompassing both front-end and back-end
Roles and Responsibilities The Role-Senior Manager or Sr Developer We are looking for a Senior Manager or Sr Developer to lead our key product development. This role will report directly to the AVP and will be
About AlphaSense: AlphaSense is the leading market intelligence and search platform. Since 2011, our has helped professionals make smarter business decisions by delivering insights from an extensive universe of public and private content—including company filings, event
Candidate should be able to: Coordinate Development, Integration, and Production deployments. Optimize Spark code, Impala queries, and Hive partitioning strategy for better scalability, reliability, and performance. Build applications using Maven, SBT and integrated with continuous integration