Python Developer

• We are seeking a highly skilled and motivated Lead Software Engineer to join our team.
• The successful candidate will be responsible for leading a team of software engineers to deliver high-quality software solutions.
• This role involves managing the complete software development process from conception to deployment, maintaining and upgrading the software following deployment, and managing the day-to-day activities of the software team in a high-energy environment.
• The Lead Software Engineer will also work closely with other departments to ensure software solutions meet the company's business needs and goals.

Responsibilities:

• Lead a team of software engineers in designing, developing, testing, and maintaining software solutions.
• Collaborate with other teams to understand requirements and translate them into technical specifications.
• Ensure the quality of the software through code reviews, maintaining documentation, and rigorous testing.
• Mentor junior team members, fostering a culture of continuous learning and improvement.

Required Skills

• Proficiency in Python: The candidate must have a strong understanding and experience in Python programming language, including both front-end and back-end development.
• Expertise in ETL: The candidate should have a deep understanding of Extract, Transform, Load (ETL) processes and should be able to design, build, and maintain ETL pipelines.
• Leadership: The candidate should have proven experience in leading a team of software engineers, with strong interpersonal and communication skills.
• The candidate must have a bachelor’s degree in computer science, Software Engineering, or a related field. A Master's degree is preferred.

Preferred Skills:

• AWS: Experience with Amazon Web Services (AWS) is highly desirable.
• Java: Knowledge of Java programming language can be an added advantage.
• SQL: Proficiency in SQL can be beneficial.
• Knowledge of Agile methodologies: Familiarity with Agile software development methodologies can be a plus.
• DevOps: Experience with DevOps practices and tools can be beneficial.
• Machine Learning: Knowledge of machine learning algorithms and their implementation can be an added advantage.
• Data Analysis: Proficiency in data analysis can be beneficial.
• Docker: Experience with Docker or similar containerization technologies can be a plus.
• Microservices: Knowledge of designing and implementing microservices can be an added advantage.
• RESTful APIs: Experience with RESTful APIs can be beneficial