Job Description
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Written by AI from the job title and company, not by AgileEngine, so some details may not match this job. The employer's own page has the real description.
Job Overview
The Senior Data Software Engineer at AgileEngine is responsible for designing and implementing robust software solutions that manage and analyze large datasets. In this remote role, the engineer will collaborate with cross-functional teams to optimize data workflows and enhance system scalability. A strong focus on coding best practices, system architecture, and data modeling will be essential in ensuring that our applications meet the performance and reliability standards expected in our fast-paced and innovative environment.
Job Responsibilities
- Design, develop, test, and deploy data processing applications and systems.
- Collaborate with data scientists and analysts to understand data needs and requirements.
- Implement data models and architecture that support data warehousing and analytics initiatives.
- Optimize and enhance existing code for performance, scalability, and reliability.
- Conduct code reviews and mentor junior engineers to foster a culture of quality and continuous learning.
- Participate in the full application lifecycle, including requirements gathering, architecture design, coding, testing, and deployment.
- Continuously explore and implement new technologies to improve the reliability and performance of data solutions.
- Ensure compliance with data privacy regulations and security standards.
Qualifications
- Bachelor’s degree in Computer Science, Software Engineering, or related field; Master’s preferred.
- At least 5 years of experience in software development with a focus on data engineering.
- Proficiency in programming languages such as Python, Java, or Scala.
- Strong understanding of databases (SQL and NoSQL) and experience with data modeling and data warehousing concepts.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Familiarity with ETL tools and data pipeline frameworks.
- Knowledge of containerization technologies such as Docker and Kubernetes is a plus.
- Excellent analytical and problem-solving skills.
Technologies & Tools
The Senior Data Software Engineer will work with a variety of technologies and tools, including but not limited to Python, Apache Spark, SQL databases, NoSQL databases, cloud services (AWS/Azure/Google Cloud), container orchestration tools (Docker/Kubernetes), and data visualization tools. Familiarity with modern data frameworks and ETL processes will also be integral to the role, ensuring the successful deployment of data-driven solutions.
Ideal Candidates
Ideal candidates for this position possess a strong technical background complemented by excellent communication and collaboration skills. They are proactive problem solvers who thrive in a remote work environment and can manage multiple priorities effectively. A detail-oriented mindset, adaptability to new technologies, and a commitment to delivering high-quality code are essential qualities that will contribute to the success of the engineering team and AgileEngine’s objectives.
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