About the Role
We are seeking a highly skilled Senior Python Data Engineer with strong experience in building and
maintaining production-grade data pipelines, developing scalable backend services, and working with
large-scale distributed data systems. The ideal candidate should possess a strong engineering mindset
and be capable of transforming analytical workflows into robust, maintainable, and production-ready
applications.
Key Responsibilities
- Design, develop, and maintain scalable Python-based data pipelines for data ingestion,
transformation, processing, and publishing across distributed systems.
- Convert notebook-based analyses and Databricks workflows into modular, reusable, testable,
and production-ready Python applications.
- Build and maintain backend APIs and services using Python frameworks such as Flask.
- Design efficient data models and retrieval mechanisms using SQL and NoSQL databases, with a
preference for MongoDB.
- Collaborate closely with Data Scientists to operationalize research models and analytical
workflows.
- Develop reusable data access layers, shared services, and engineering frameworks to improve
development efficiency.
- Work with geospatial datasets and implement location-based data processing solutions.
- Ensure code quality through best practices, testing, documentation, and performance
optimization.
1 Participate in architecture discussions and contribute to technical decision-making.
Required Skills & Qualifications
Python & Data Engineering
- Strong hands-on experience in Python software engineering.
- Proven expertise in developing and maintaining production-grade data pipelines.
- Experience working with distributed data systems and large datasets.
- Strong understanding of software engineering principles, clean coding practices, and application
architecture.
Data Platforms & Databases
- Strong proficiency in SQL.
- Experience with NoSQL databases, preferably MongoDB.
- Ability to design efficient ingestion, transformation, storage, and retrieval patterns.
API & Backend Development
- Experience building RESTful APIs and backend services using Flask or similar Python
frameworks.
- Understanding of scalable application architecture and service-oriented design principles.
Data Science Collaboration
- Experience working closely with Data Science teams.
- Ability to translate analytical and research requirements into scalable engineering solutions.
- Experience operationalizing machine learning and analytical workflows.
Geospatial Data
- Familiarity with geospatial technologies and concepts.
- Hands-on experience with:
- GeoPandas
- Geohashes
- Spatial Queries
- Location-based datasets and analytics
Preferred Qualifications
- Experience with Databricks.
- Exposure to cloud platforms such as AWS, Azure, or GCP.
- Understanding of CI/CD pipelines and DevOps practices.
- Experience with containerization technologies such as Docker and Kubernetes.
- Knowledge of data governance, security, and performance optimization.
What We Are Looking For
- Strong problem-solving and analytical skills.
- Ability to work independently and take ownership of deliverables.
- Excellent communication and stakeholder management skills.
- Collaborative mindset with a passion for building scalable data-driven solutions.
Pay: From ₹80,000.00 per month
Benefits:
- Flexible schedule
- Paid time off
- Work from home
Work Location: In person
