Data Systems Developer
A Data Systems Developer is responsible for designing, building, and maintaining data processing systems which may include databases, data warehouses, and data lakes, as well as related software applications.
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Sample Job Descriptions for Data Systems Developer
Below are the some sample job descriptions for the different experience levels, where you can find the summary of the role, required skills, qualifications, and responsibilities.
Junior (0-2 years of experience)
Summary of the Role
We are seeking a talented and motivated Junior Data Systems Developer to join our team. The ideal candidate will have a foundational understanding of data management systems, software development, and an eagerness to learn and grow in the field. This role involves working on the development and maintenance of data storage and retrieval systems to support business applications and decision-making processes. The individual will collaborate with a team to design, build, and optimize data systems to meet organizational needs.
Required Skills
- Database design and development
- Data analysis and modeling
- Programming in Python, Java, or similar languages
- Understanding of ETL (Extract, Transform, Load) processes
- Familiarity with version control systems, such as Git
- Effective communication, both verbal and written
- Time management and the ability to multitask
Qualifications
- Bachelor's degree in Computer Science, Information Systems, or a related field.
- Familiarity with database technologies such as SQL, NoSQL, and database management systems.
- Understanding of software development life cycle and agile methodologies.
- Basic knowledge of programming languages such as Python, Java, or C#.
- Ability to work in a collaborative team environment.
- Strong problem-solving and analytical skills.
- Eagerness to learn new technologies and tools related to data management and development.
Responsibilities
- Assist in developing and implementing data storage solutions and databases.
- Collaborate with team members to integrate data systems with existing company infrastructure.
- Contribute to the creation of system documentation and technical specifications.
- Participate in data modeling and database design.
- Support the maintenance and optimization of data systems for performance and reliability.
- Help to ensure data integrity and security by following best practices and company guidelines.
- Engage in code reviews and continuous learning to improve development skills.
- Troubleshoot issues within data systems and provide timely resolutions.
Intermediate (2-5 years of experience)
Summary of the Role
As a Data Systems Developer, you will be responsible for designing, building, and maintaining the infrastructure that supports large-scale data processing and analysis. You will work closely with data scientists and analysts to create robust, scalable data solutions that drive strategic decision-making.
Required Skills
- Proficiency in programming languages such as Python, Java, or Scala.
- Ability to work with both structured and unstructured data sources.
- Experience with data warehousing solutions.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
- Ability to handle multiple projects and prioritize tasks effectively.
Qualifications
- Bachelor's degree in Computer Science, Information Technology, or related field.
- 2-5 years of experience in a similar role, with a focus on data systems development.
- Strong understanding of database technologies (SQL and NoSQL) and data modeling concepts.
- Experience with big data technologies (e.g., Hadoop, Spark) and cloud services (AWS, Azure, GCP).
- Familiarity with data pipeline and workflow management tools (e.g., Apache Airflow).
- Knowledge of data governance, data security, and privacy standards.
Responsibilities
- Develop and maintain scalable and reliable data systems and architecture.
- Collaborate with data scientists and analysts to understand data needs and deliver solutions.
- Implement data ingestion and transformation pipelines for both structured and unstructured data.
- Optimize data retrieval and develop dashboards for reporting and analytics.
- Ensure data integrity and compliance with data governance and security policies.
- Participate in code reviews and promote best practices in data systems design and coding.
- Monitor system performance, troubleshoot issues, and roll out updates as needed.
Senior (5+ years of experience)
Summary of the Role
We are seeking a highly skilled and experienced Data Systems Developer to lead the development, implementation, and maintenance of our data storage and processing systems. The ideal candidate will have a strong background in software development, data architecture, and system integration.
Required Skills
- Proficiency in SQL and NoSQL database technologies.
- Strong programming skills in languages such as Python, Java, or Scala.
- Expertise in data modeling and ETL processes.
- Excellent problem-solving and analytical skills.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Knowledge of data warehousing solutions and data lake architectures.
- Ability to work independently and as part of a team.
- Strong communication and leadership skills.
Qualifications
- Bachelor's or Master's degree in Computer Science, Information Technology, or related field.
- Minimum of 5 years of experience in a similar role developing and managing data systems.
- Proven expertise in database design, development, and management.
- Experience with big data technologies and distributed computing frameworks.
- Strong understanding of data privacy laws and compliance requirements.
Responsibilities
- Design, develop, and implement complex data storage and processing systems.
- Work closely with data analysts and scientists to understand their needs and translate them into system requirements.
- Ensure the performance, security, and scalability of database systems.
- Implement data governance and compliance standards.
- Mentor junior developers and lead the technical team in best practices.
- Collaborate with cross-functional teams to integrate data systems with other enterprise systems.
- Conduct system performance tests and troubleshoot and resolve issues.
- Stay updated with the latest technologies and bring innovative ideas to improve data systems.
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