Software Engineer (Python/ETL Developer)

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Job Overview

As a Software Engineer (Python/ETL Developer) at Systems Integration Solutions, you will be responsible for designing, developing, and maintaining scalable data processing systems. Your role will encompass various aspects of the software development life cycle, focusing on extraction, transformation, and loading (ETL) processes that facilitate effective data integration and analysis. Collaborating with cross-functional teams, you will ensure high-quality code, contribute to architectural decisions, and enhance existing solutions to improve data workflows and overall performance.

Job Responsibilities

• Design, develop, and implement ETL processes using Python and other relevant technologies.
• Collaborate with data architects and analysts to understand data requirements and optimize data flow.
• Perform data profiling and analysis to ensure data quality and integrity.
• Write well-structured, efficient, and maintainable code to ensure scalability and sustainability.
• Debug and troubleshoot data pipeline issues, implementing corrective actions as necessary.
• Document technical specifications and maintain up-to-date knowledge of industry trends and advancements.
• Participate in code reviews to uphold coding standards and best practices.
• Support the deployment and monitoring of ETL solutions in production environments.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or a related field.
• Proven experience in Python programming and software development.
• Strong knowledge of ETL concepts and tools, with a focus on data integration.
• Experience with relational databases and SQL.
• Familiarity with data warehousing concepts and data modeling.
• Proficient in version control systems such as Git.
• Excellent problem-solving skills and attention to detail.
• Effective communication skills to work collaboratively within a team.

Technologies & Tools

The Software Engineer (Python/ETL Developer) position requires proficiency in technologies such as Python, SQL, and various ETL tools. Familiarity with data processing frameworks such as Apache Spark and experience with cloud platforms like AWS or Azure may also be advantageous. Knowledge of version control systems like Git and integrated development environments (IDEs) is essential for effective collaboration and project management.

Ideal Candidates

The ideal candidates for this position are driven, detail-oriented professionals with a passion for working with data and technology. They possess a strong analytical mindset, enabling them to identify and solve complex data challenges. Additionally, these individuals are proactive learners who stay updated with emerging technologies in the data landscape. Strong communication skills, coupled with an ability to collaborate in a dynamic team environment, will further contribute to their success in this role.