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.
Overview
The Work from Home Senior Data Software Engineer at AgileEngine will play a pivotal role in the design, development, and optimization of data-centric solutions. This position involves collaborating with cross-functional teams to create scalable software solutions that utilize advanced data engineering techniques. The ideal candidate will leverage their expertise in data structures, analytical thinking, and software design to implement complex data processes and contribute to the overall data strategy of the company. Additionally, they will mentor junior engineers and help establish best practices for data engineering across the organization, ensuring the delivery of high-quality solutions on time and within scope.
Job Responsibilities
- Design and develop robust data pipelines and ETL processes to handle large volumes of data.
- Implement data models and database designs to optimize data storage and retrieval.
- Collaborate with data scientists and analysts to understand data needs and translate them into technical requirements.
- Conduct code reviews and mentor junior engineers to enhance team skills and knowledge.
- Monitor and troubleshoot data processing applications ensuring high availability and performance.
- Utilize version control systems to manage codebase effectively and maintain documentation.
- Drive continuous improvement and innovation strategies within data engineering practices.
- Participate in architecting the solution and contribute to technology selection processes.
Qualifications
- A Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
- A minimum of 5 years of experience in Data Engineering or related software engineering roles.
- Proficiency in programming languages such as Python, Java, or Scala.
- Solid experience with SQL and NoSQL databases, including MongoDB, PostgreSQL, or similar technologies.
- Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.
- Experience with big data technologies such as Hadoop, Spark, or Kafka.
- Strong understanding of data warehousing concepts and data modeling techniques.
- Exceptional problem-solving skills and attention to detail, with the ability to work independently.
Technologies & Tools
The Senior Data Software Engineer will utilize a variety of technologies and tools to achieve their objectives. Primary technologies include programming languages such as Python and Java, alongside data processing libraries like Apache Spark and Kafka. For data storage and retrieval, familiarity with both SQL and NoSQL databases is crucial, as well as cloud services via AWS or Google Cloud. Additionally, tools for version control (such as Git) and environments for CI/CD may be used to streamline the development process.
Ideal Candidates
The ideal candidates for this position will possess a passionate curiosity for data and the role it plays within software solutions. They should thrive in a collaborative environment, demonstrating excellent communication skills that enable effective teamwork across departments. The candidate must also display a proactive attitude toward learning new technologies and industry best practices. A strong analytical mind, combined with a structured approach to problem-solving and a commitment to delivering quality results, will distinguish successful applicants for this role at AgileEngine.
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