Data Engineer - Python

• Write clean, scalable code using .NET programming languages.
• Developing the web based software using computer programming languages such as Asp.net, Sql Server, MVC, C# & Entity framework.
• Revise, update, re-factor and debug code.
• Participate as a team member in all phases of S/W lifecycle, including the analysis and design of S/W systems.
• Participate in integrated testing of product/ package.
• Deploying applications on client server.
• Making changes to existing web applications according to the feedback received from the end users or clients.
• Design and develop REST API’s using ASP.NET/C#.

DeCarbonic is seeking a Sales and Marketing Specialist to join our team in Nigeria. The ideal candidate should have experience in sales and marketing, preferably in the renewable energy or carbon credit industry. This is a field-based position and requires the candidate to have excellent communication and negotiation skills.

Responsibilities:

• Develop and implement sales and marketing strategies to achieve the company's targets.
• Identify and generate new business opportunities in the renewable energy and carbon credit sector.
• Maintain relationships with existing clients and develop new partnerships.
• Represent the company at conferences, exhibitions, and other events.
• Provide regular reports on sales and marketing activities and achievements.

Requirements:

• Bachelor's degree in Marketing, Business Administration or a related field.
• At least 3-5 years of experience in sales and marketing, preferably in the renewable energy or carbon credit industry.
• Excellent communication and negotiation skills.
• Self-motivated and target-oriented.
• Willingness to travel and work in Nigeria for 6 months.
• Valid passport.

If you have the required experience and qualifications and are willing to relocate to Nigeria for a 6-month assignment with Decarbonic, we encourage you to apply.

Senior Software Engineer-Frontend

About the role: 

We are looking for passionate, talented, and highly motivated hands-on Front End Developers with a creative edge, strong problem solving skills and strong development fundamentals. We strive to maintain an open culture where everyone is a contributor and feels comfortable sharing ideas and opinions. Our team, drawn from the best product companies, is obsessive in its detailing and our focus is on awesome User Interaction.

Requirements:

• Ability to collaborates with teams to explore existing systems, determines areas of complexity and learns the applications capabilities
• Complete understanding of internal code and workings on any popular open source library will be highly appreciated
• Some record of contribution to any popular front end open source project is a big plus.

Skills that will help you succeed in this role:

• An ideal Senior Front End Engineer would have 3-6 years of experience in building highly scalable UI on the Web/Mobile.
• Highly skilled at building highly performant web applications using  JavaScript, HTML and CSS including frameworks and tools such as React, Redux, Redux saga, Sass, Less etc.
• Ability to write testable, maintainable code that’s easy to understand.
• Experience in modern front-end build pipelines and tools.
• Ability to take complex problems and break them down into smaller tasks.
• An innate curiosity about how things work.
• Strong product and design sensibilities and an obsessive attention to detail.
• Excellent communication skills.
• Self-directed team player who thrives in a continually changing environment.
• We are looking for passionate, talented, and highly motivated hands-on Front End Developers with a creative edge, strong problem solving skills and strong development fundamentals. 

• Work closely with your business to identify issues and use data to propose solutions for effective decision making
• Build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organisation.
• Creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc
• Querying databases and using statistical computer languages: R, Python, SLQ, etc.
• Visualizing/presenting data through various Dashboards for Data Analysis, Using Python Dash, Flask etc.
• Test data mining models to select the most appropriate ones for use on a project
• Work in a POSIX/UNIX environment to run/deploy applications
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
• Assess the effectiveness of data sources and data-gathering techniques and improve data collection methods
• Horizon scan to stay up to date with the latest technology, techniques and methods
• Coordinate with different functional teams to implement models and monitor outcomes.
• Stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work.

• Able to create algorithms to extract information from large data sets
• Strong knowledge of Python, R, Java or another scripting/statistical languages to automate data retrieval, manipulation and analysis.
• Experience with extracting and aggregating data from large data sets using SQL or other tools
• Strong understanding of various NLP, and NLU techniques like Named Entity Recognition, Summarization, Topic Modeling, Text Classification, Lemmatization and Stemming.
• Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, etc.
• Experience with Python libraries such as Pandas, NumPy, SciPy, Scikit-Learn
• Experience with Jupyter / Pandas / Numpy to manipulate and analyse data
• Knowledge of Machine Learning techniques and their respective pros and cons
• Strong Knowledge of various Data Science Visualization Tools like Tableau, PowerBI, D3, Plotly, etc.
• Experience using web services: Redshift, AWS, S3, Spark, DigitalOcean, etc.
• Proficiency in using query languages, such as SQL, Spark DataFrame API, etc.
• Hands-on experience in HTML, CSS, Bootstrap, JavaScript, AJAX, jQuery and Prototyping.
• Hands-on experience on C#, Javascript, .Net
• Experience in understanding and analyzing data using statistical software (e.g., Python, R, KDB+ and other relevant libraries)
• Experienced in building applications that meet enterprise needs – secure, scalable, loosely coupled design
• Strong knowledge of computer science, algorithms, and design patterns
• Strong oral and written communication, and other soft skills critical to collaborating and engage with teams