Senior Software Engineer Job Opening | Remote, Full-Time
About Company – Macrodata
Macrodata is a portmanteau of two words: “Macro”, meaning on a large scale, and “Data”, meaning facts and statistics collected together for reference or analysis. The term was coined by two Data Science enthusiasts, Nihal Sharma and Divanshu Bansal in 2017 while working on technologies like Artificial Intelligence, Big Data, Machine Learning, Deep Learning, and Reinforcement Learning at two different companies.
Since then, Macrodata has been working towards the vision of providing Advanced Data Science Analytics and Business Intelligence globally. Macrodata labs have been analyzing and predicting data for quantitative investment funds, using machine learning to generate stock predictions since 2017. They also developed a forecasting model to calculate the natural gas storage report released by the US Energy Information Administration, USGS Water-Data Stream-Flow forecasts, and created business intelligence reports for the California Department of Transportation. This has led to their interest in working in industries related to Transportation, E-Commerce, Financial Markets (specifically asset management and stocks and commodities trading), FinTech, Finance, Energy, Oil, Textile, and Gas Industry.
As Macrodata moves forward with the vision of creating new economic decisions for organizations with the help of Data Science Technologies and new IT Infrastructure, they aim to provide a solid understanding of big data, predictive analytics, Blockchain, and resources for expanding knowledge in data from sources such as SAP and integrated system data. They are also working on in-house Blockchain and Data Science-based Products and Services.
- Object-Oriented Programming (OOP)
- Software Development
- Code Review
- Computer Science
- Databases
- High Performance Computing (HPC)
- Multitasking
- Schema
- Skilled Multi-tasker
- XML Schema
Job Description:
Macrodata is seeking a Senior Software Engineer to join our dynamic team. The ideal candidate will have a strong background in software development, data science, and machine learning. This role involves developing and optimizing our in-house blockchain and data science-based products and services.
Responsibilities:
- Design, develop, and maintain high-quality software solutions.
- Collaborate with data scientists and analysts to implement machine learning models.
- Optimize and scale existing applications for performance and reliability.
- Contribute to the development of predictive analytics and business intelligence tools.
- Work with cross-functional teams to integrate various data sources and systems.
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in software development.
- Proficiency in programming languages such as Python, Java, or C++.
- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
- Strong knowledge of data structures, algorithms, and software design principles.
- Familiarity with blockchain technology is a plus.
- Excellent problem-solving skills and attention to detail.
Preferred Qualifications:
- Experience in big data technologies (e.g., Hadoop, Spark).
- Knowledge of SAP and integrated systems data.
- Proven track record of working on complex data science projects.
Benefits:
- Competitive salary and benefits package.
- Opportunity to work on cutting-edge technologies.
- Collaborative and innovative work environment.
- Professional development and growth opportunities.
Company Overview
Website: https://macrodatalabs.com
Phone: +91-8847684982
Industry: Research Services
Company size: 2-10 employees
4 associated members LinkedIn members who’ve listed Macrodata as their current workplace on their profile.
Headquarters: Chandigarh, Punjab
Founded: 2017
Specialties: Business Intelligence, BigData , Machine Learning, Deep Learning, Reinforcement Learning, Data Analytics, Data Processing, ETL Pipelining, Hybrid Apps, Chatbots, Virtual Assistance, Full Stack Development, R Statistical Analytics, AWS Lambda, IBM BlueMix, AWS Redshift, Tableau, Microsoft BI, and Azure BI
