Jobs at Data Axle India

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.

Support and improve production reliability across AWS and on-prem environments. Manage L2 incidents, perform RCA, automate repetitive tasks with scripting, enhance monitoring/observability, support Linux/Windows servers, and contribute to IaC and reliability engineering initiatives.

Design, implement, and deploy production machine learning models in a Python-based cloud architecture; build APIs and data-facing capabilities; deliver high-quality, testable code (CI/CD); visualize and publish insights; work in an agile team and manage stakeholder expectations while promoting data-driven culture.

Manage L2 production incidents across AWS and on-prem, perform RCA, drive permanent fixes, automate repetitive tasks with scripting, improve monitoring and observability, maintain runbooks, support Linux/Windows servers, and participate in 24x7 on-call rotations to improve uptime and reduce MTTR.

Call companies to verify and update business contact and demographic data (name, address, phone, employees, key personnel, email, website, line of business). Enter corrections with high accuracy, follow scripted guidelines, and meet quality standards. Maintain strong customer service, communication, and analytical skills while working shift schedules.

Own end-to-end accounts payable for a division: match payments, resolve vendor payment issues, interact with vendors, enter data, analyze billing and receipts, support credit/collections, produce reports, and serve as billing backup.

Design and resize digital assets for social, email, display, and web; build email layouts with simple HTML; create GIF and HTML5 animations; edit and produce short videos; source stock imagery; ensure designs meet specifications.

Support enterprise and mid-market pipeline generation by translating go-to-market objectives into targeted account lists, territory plans, ICP-aligned audience segments, account mapping, data-driven prospect lists, and outbound campaign setups. Maintain CRM and prospecting data integrity, enable BDR and Sales execution, and optimize targeting based on performance insights.

Lead strategy, roadmap, and specs for web-based SaaS products. Collaborate with engineering, marketing, sales, and support to deliver product roadmaps. Conduct customer and market analysis, drive go-to-market and product marketing, mentor Product Owners, oversee Agile/Scrum delivery, track KPIs, and identify growth opportunities.

Senior Analytics contributor responsible for building optimized SQL queries, scalable datasets and pipelines, performing segmentation, campaign and churn analyses, supporting client discovery, validating analytics outputs, estimating project effort, and identifying risks and dependencies for enterprise clients.

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 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.

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.

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.