Senior Software Engineer (Data)

KSOLVES; Indore District; On-site; INR 133,920 - 167,400; Full time

Job summary

A technology company in India seeks a Senior Software Engineer to drive the design and implementation of scalable data solutions. The ideal candidate will have over 3 years of software engineering experience, strong expertise in Python and SQL, and a solid background in data processing systems. This position emphasizes collaboration with multi-disciplinary teams to enhance product functionality and performance. If you have a passion for data engineering and a drive for impact, apply now!

Qualifications

• 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.
• 3+ years of deep SQL expertise with strong track record in performant queries.

Responsibilities

• Core contributor on the Data team, designing scalable solutions.
• Lead development of core capabilities including scalable data pipelines.
• Create technical documentation including internal specifications.

Skills

Software engineering experience

Python proficiency

SQL expertise

Attention to detail

Communication skills

Education

Bachelor's or Master's degree in Computer Science

Tools

Pandas

NumPy

PySpark

AWS

Azure

Elasticsearch

MongoDB

Job description

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.

Key Responsibilities

• 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

Required Skills

• 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

Highly Desirable Skills

• Exposure to AI and AI/ML Ops pipelines
• Experience with advanced data architectures and optimization techniques
• Exposure to modern data stack technologies

Qualifications

• Bachelor's or Master's degree in Computer Science or related field