M06 - Senior Software Engineer

Responsibilities

- Design and develop scalable backend services integrating with external vendor systems via RESTful APIs

- Implement robust data ingestion services including pagination and incremental/time-window retrieval

- Handle API error handling, retries, and idempotent processing to ensure reliable integrations

- Build and maintain data pipelines for processing large volumes of transactional and event data

- Perform data transformation, validation, and enrichment for downstream systems

- Support batch and near real-time data processing workflows

- Develop and deploy applications using Microsoft Azure services such as Azure Functions, App Services, Storage, Key Vault, APIM, and VNET

- Design scalable, resilient, and highly available cloud-native solutions

- Implement observability practices including logging, monitoring, and alerting

- Ensure data accuracy, consistency, and reconciliation across multiple data sources

- Support auditability and traceability of data flows for regulatory requirements

- Collaborate with external vendors on API contracts and integration designs

- Deliver high-quality, maintainable, and reusable software solutions

- Contribute to engineering standards, best practices, and continuous improvement initiatives

- Support CI/CD pipelines, automated testing, and continuous delivery practices

Requirements
Core Technical Skills

- Strong proficiency in Python (preferred) or backend languages such as Java or Node.js

- Strong SQL proficiency including PostgreSQL, MySQL, or T-SQL

- Solid experience building backend services and API integrations

- Experience working with RESTful APIs and JSON payloads

- Knowledge of secure integration patterns including API keys, TLS, certificates, and PGP

Good understanding of:

- Pagination, filtering, and incremental data retrieval
Idempotency, retries, and distributed system failure handling

- Experience with data visualisation tools such as Power BI, including connectivity and configuration

Data Engineering & Processing

- Experience building batch or streaming data pipelines

- Familiarity with data transformation, validation, and data modelling

- Experience handling large datasets and high-volume ingestion systems

- Understanding of data reconciliation and audit requirements is an advantage

Databases

- Experience with relational databases such as PostgreSQL or MS SQL

- Knowledge of query optimisation and large-scale data handling

Cloud & DevOps

- Experience with cloud platforms, preferably Microsoft Azure

- Experience setting up and managing CI/CD pipelines using GitLab CI/CD or similar tools

- Familiarity with Docker/containerisation is an advantage

Observability & Reliability

- Experience implementing logging, monitoring, metrics, and alerting solutions

- Understanding of system reliability and fault-tolerant design principles

Originally posted on Himalayas