Top Tech Jobs & Startup Jobs in Pune

Design, implement and support analytical data infrastructure and real-time pipelines on AWS. Extract, transform and load data from varied sources using SQL and big-data tools; enable analytics, monitoring, and machine-learning workflows; improve reporting and automate self-service data processes.

Support HubSpot administration across marketing and sales, including user and contact management, campaign setup, landing pages, forms, workflows, lead scoring, sequences, reporting, testing, and internal user support. Collaborate with cross-functional teams to execute email campaigns, automate processes, monitor performance, and optimize marketing operations. Maintain platform knowledge and pursue HubSpot certifications.

The Sr. Software Engineer will design, code, and test software, provide technical leadership, analyze systems, and improve development processes.

The Software Engineer will design, code, and test features, enhance applications, conduct code reviews, and develop data models while collaborating with the team.

The Senior Associate, Client Services assists in sales programs, manages order entry, provides customer support, and maintains documentation using company systems including Salesforce.com.

The Sr Software Engineer will program, maintain, and enhance business application systems while providing technical leadership and performing code reviews.

The Technical Lead manages the design, development, and integration of engineering solutions, collaborating with teams to enhance product offerings and implement best practices.

The Client Services Associate manages client order inquiries, coordinates audits and billing, fulfills list rentals, and produces reports.

Design, implement, and support analytical data infrastructure and real-time pipelines. Build ETL processes and data warehousing using SQL and AWS big-data services. Collaborate on analytics, monitoring, and machine-learning implementations, and improve automated reporting and self-service capabilities.

Design, build, and deploy production machine learning models and APIs in a Python-based cloud architecture. Deliver high-quality, testable code, visualize analytic results, collaborate in agile teams, and support data product capabilities and stakeholder communication.