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Hybrid/remote, popular backend title, mid-level experience, broad skills and Bangalore location drive high competition.
Core backend and data engineering skills are transferable, but enterprise integrations (Salesforce/SAP) add moderate domain specificity.
Explicit 6–10 years plus mandatory Python, PySpark, cloud, and enterprise integration skills make shortlisting strict.
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Design, develop, and maintain scalable Python-based backend applications, APIs, microservices, and integration frameworks.
Build and manage enterprise integrations across systems such as Salesforce, SAP, SharePoint, databases, cloud services, and SaaS platforms using event-driven and API-driven architectures.
Develop and optimize ETL/ELT data pipelines, distributed data processing with PySpark, and cloud-native data platforms on AWS and GCP to ensure data quality, governance, and real-time business process integration.
6–10 years of software engineering and integration experience.
Strong expertise in Python development and experience with enterprise integrations and API engineering.
Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or a related field.
Experience with cloud platforms (AWS, GCP), big data processing (PySpark), and databases (PostgreSQL, MySQL).
Experienced in designing backend services and integrations for large-scale enterprise systems including CRM, ERP, cloud, and AI-driven platforms.
Skilled in building scalable, secure, and maintainable data and application architectures with focus on automation and cloud-native solutions.
Able to collaborate cross-functionally with product, AI, analytics, and business teams to deliver reliable, governed, and operational backend and data engineering solutions.