Jobs at Data Axle India

The Software Engineer will design, code, and test business applications, maintain systems, and analyze data using cloud services and standard technologies.

Design, develop, test, and maintain business application systems and web services using cloud-based technologies; perform code reviews, create documentation, analyze data needs and models, and collaborate with stakeholders and Agile teams to support and improve development processes.

Design, develop, test, and maintain enterprise business applications and web services using cloud technologies; provide technical leadership, perform code reviews, design data models, and collaborate with stakeholders to integrate infrastructure and improve development processes.

Design, implement and support analytical data infrastructure and real-time AWS data pipelines. Extract, transform, and load large datasets using SQL and AWS big-data services, collaborate on advanced analytics and ML model deployments, and improve reporting and self-service data access.

Support product lifecycle by maintaining product backlogs, writing user stories, coordinating with engineering and QA, assisting manual testing and releases, maintaining documentation (Confluence/SOPs), and preparing release notes. Participate in grooming, sprint tracking, defect tracking, and cross-functional communication while learning product workflows and agile practices.

The Associate Software Engineer will implement application components, analyze requirements, code and debug applications, and work with data complexity while collaborating with product and design teams.

Design, implement, test, and maintain application components and web services. Work with product and design teams to translate requirements, perform code reviews, troubleshoot integration issues, and support testers. Follow department standards, remain current on emerging technologies, and perform other duties as assigned.

Lead end-to-end analytical deliverables for external clients using SAS as the primary tool. Perform data acquisition, validation, profiling, statistical analysis, modeling, and standardized reporting. Use SQL and Python for data prep, Excel for summaries, and Tableau for basic visualizations. Partner with stakeholders, ensure data governance and accuracy, investigate anomalies, and manage multiple priorities in a matrixed environment while supporting North America business hours.

Develop, test, and maintain business applications and web services, translate product requirements with designers, perform code reviews, debug and integrate technologies, support testers and support teams, and stay current with emerging technologies. Work within team standards and Agile processes to handle data-driven systems and ensure efficient job execution.

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.

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.

Lead design and support of analytical data infrastructure and real-time data pipelines on AWS. Build ETL, data modeling, warehousing, and BI solutions; collaborate on analytics and machine learning integrations; automate reporting and improve self-service access.

Design, implement, test, and maintain enterprise software and web services using cloud technologies. Analyze data requirements, build logical and physical data models, perform code reviews, and collaborate with stakeholders in Agile teams to support data storage, access, and integration.