Data Engineer - INTL

Job Description

We are seeking a highly skilled Data Engineer to design, build, and maintain robust, scalable data pipelines within a Microsoft Azure–first environment. This role supports data powering a mission‑critical mobile application used across the transportation supply chain industry, where reliability, performance, and data accuracy are essential.

The ideal candidate brings deep SQL expertise, hands‑on experience with Azure Data Factory, and strong working knowledge of core Azure services such as Logic Apps, Function Apps, and App Services. You will collaborate closely with application, platform, and business teams to ensure data is delivered securely and reliably to downstream systems.

Key Responsibilities

Design, develop, and maintain end‑to‑end data pipelines using Azure Data Factory to support high‑availability production workloads.

Develop and optimize complex SQL queries, stored procedures, and data models for performance, scalability, and reliability.

Integrate and orchestrate data workflows using Azure Logic Apps and Azure Functions for event‑driven and automated processing.

Support and integrate data solutions with Azure App Services and backend APIs used by mobile and enterprise applications.

Ensure data quality, monitoring, error handling, and observability for pipelines supporting mission‑critical mobile applications.

Collaborate with application developers, product teams, and stakeholders to translate business requirements into scalable data solutions.

Implement security, governance, and best practices across Azure services (RBAC, managed identities, secure connections).

Troubleshoot production issues and participate in on‑call or support rotations as needed for critical systems.

Contribute to continuous improvement of data architecture, performance optimization, and Azure cost efficiency.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to View email address on click.appcast.io learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements

-4+ years of professional experience as a Data Engineer or in a similar data‑focused role.

-Ability to go onsite in Bangalore 12 days per month

-Expert‑level SQL skills, including query optimization and complex transformations.

-Strong hands‑on experience with Azure Data Factory (ADF) in production environments.

-Proven experience working in a heavy Microsoft Azure ecosystem.

-Working knowledge of:

Azure Logic Apps

Azure Function Apps

Azure App Services

-Experience supporting production‑grade, business‑critical applications.

-Solid understanding of ETL/ELT concepts, data integration patterns, and cloud data architectures.

-Strong problem‑solving skills and ability to work in fast‑paced, high‑availability environments.