Jobs at Data Axle India

Assesses client credit risk, approves terms, limits, and orders, and resolves collection issues. Maintains customer account records, portal accounts, invoice submissions, prepaid backlogs, and credit card processing. Analyzes payment trends, identifies risks, communicates with stakeholders, protects confidential financial information, and improves credit processes, reporting, and automation. Requires advanced Excel skills, accounting knowledge, and high-volume email management.

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.

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.

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 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/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.

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.

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.

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.

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.