Python

Job Role: Sr. Python Developer

Job Type: Full-Time

Work Mode: 5 Days Work from office (Mon-Fri)

Experience: 5+ Years

Location: Vishakhapatnam

Notice Period: Immediate-30 Days

Role Overview:

Highly skilledPython Developerwith strong expertise indata engineering, statistical analysis, and machine learningto work on advanced analytics solutions in thepower and energy sector.

The role involves building data-driven systems for:

• Load forecasting
• Anomaly detection
• Energy theft analysis
• Geospatial intelligence related to electrical distribution networks

The candidate will work with large-scale operational datasets, GPS and geospatial data, and power infrastructure information to develop scalable analytics and API-driven platforms.

Key Responsibilities:

Data Engineering & Processing:

• Extract, read, and process data from relational and non-relational databases.
• Design efficient data pipelines for large-scale structured and time-series datasets.
• Perform data cleaning, transformation, validation, and feature engineering.
• Handle high-volume operational and telemetry data.

Backend & API Development:

• Design, develop, and deploy RESTful APIs using Python frameworks.
• Build scalable backend services for analytics and model serving.
• Integrate APIs with internal and external systems.
• Deploy applications in production environments.

Machine Learning & Analytics:

• Develop models for load forecasting, anomaly detection, and energy theft analysis.
• Apply statistical modeling and predictive analytics techniques.
• Train, evaluate, and optimize ML models.
• Implement model monitoring and performance tracking.

Geospatial & Network Analytics:

• Work with geo-coordinates and spatial datasets.
• Monitor and analyze GPS-based data streams.
• Implement geographical zoning and spatial clustering.
• Perform feeder network tracing and power distribution analysis.

Collaboration & Deployment:

• Work closely with domain experts in the power sector.
• Participate in solution architecture and system design discussions.
• Maintain documentation and ensure code quality standards.

Required Skills:

Programming

• Strong proficiency in Python.
• Experience with object-oriented programming and modular design.

Data Handling

• Strong SQL skills and experience with databases (PostgreSQL, MySQL, SQL Server, or similar).
• Experience handling large datasets and time-series data.
• Knowledge of ETL processes and data pipelines.

API Development

• Experience with FastAPI, Flask, or Django REST Framework.
• API deployment and versioning experience.

Machine Learning & Statistics

• Strong foundation in statistics and probability.
• Hands-on experience with:
• scikit-learn
• pandas
• NumPy
• TensorFlow or PyTorch (preferred)
• Model evaluation and validation techniques.

Geospatial Skills (Preferred but Important)

• Experience with GeoPandas, Shapely, and GIS concepts.
• Working knowledge of GPS data processing.

Preferred Qualifications:

• Experience working in the power/energy/utilities sector.
• Exposure to load forecasting or grid analytics.
• Knowledge of feeder mapping or electrical distribution networks.
• Experience with cloud platforms (AWS / Azure / GCP).
• Docker or containerization experience.

Nice to Have:

• Time-series forecasting experience.
• Real-time data processing systems.
• Visualization tools (Power BI, Plotly, Dash, or similar).
• Knowledge of graph/network analysis.

Note: Need any GeoSpatial or Any GIS Concepts as Strong Experience (Mandatory)

Interested Candidates can share your Updated Resume to [Confidential Information]