Jobs at Data Axle India

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.

Support and improve production reliability across AWS and on-prem environments: manage L2 incidents, perform RCA, automate repetitive tasks with scripting, enhance monitoring and observability, maintain runbooks, participate in 24x7 on-call rotation, and support IaC and patching/backup activities to reduce MTTR and improve uptime.

Contact businesses by phone to verify and update company data (name, address, phones, employees, key personnel, email, website, line of business). Enter corrections into the database, maintain high accuracy (99%), and follow scripted guidelines while working shift schedules.

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 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.

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.

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.

Partner with marketing stakeholders to analyze full-funnel performance, build dashboards, activate data for campaigns and segments, measure effectiveness, and provide optimization recommendations to improve leads, conversions, retention, and ROI.

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.