Senior Software Engineer (Data)

Job details

Location

Indore/Noida/Pune

Experience

3+ years

Work Mode

WFO

As a Senior Software Engineer, you will be responsible for designing, developing, testing, and deploying new platform features and resolving issues and bugs. You will be part of a high-powered Data Engineering team responsible for the data persistence layers, data processing pipeline, and analytics components. This collaborative environment provides the opportunity to learn, contribute, and make a meaningful impact on the platform and products.

Core contributor on the Data team, consistently designing scalable solutions adhering to design principles and engineering best practices
Lead development of core capabilities including scalable data pipelines, storage/query optimization, data lakehouse implementations, and API-delivered insights
Write well-tested, well-documented code with comprehensive unit and integration tests
Collaborate with Engineers, Product Management, QA, and internal stakeholders
Key contributor to CI/CD implementation and data pipeline automation
Create technical documentation including internal specifications and external API documentation
Design and manage high-volume, high-throughput data systems with 99.9% uptime standards

3+ years of software engineering experience with proven track record of delivering Enterprise-grade features
Expert-level proficiency in Python (5+ years) with data libraries: Pandas, NumPy, PySpark
3+ years of deep SQL expertise with strong track record in performant queries, execution plan optimization, and large-scale relational datasets
Experience designing and managing high-volume, high-throughput data persistence and processing systems with 99.9% uptime
Exposure to CI/CD pipelines, monitoring, and automation frameworks for data pipelines
Proven ability to analyze, debug, and solve complex technical problems efficiently
Attention to detail and enforcement of highest quality and performance standards
Experience with relational databases and NoSQL databases (Elasticsearch, MongoDB)
Experience with cloud platforms (AWS, Azure) and cloud-native frameworks
Excellent verbal and written communication skills

Full-stack programming exposure: C#, NodeJS, and front-end Javascript frameworks
Exposure to AI and AI/ML Ops pipelines
Experience with advanced data architectures and optimization techniques
Exposure to modern data stack technologies