The Data Engineer at Salla plays a crucial role in the design, construction, and maintenance of our data architecture, ensuring the seamless flow of data between various systems and stakeholders. This position involves transforming raw data into a format that can be easily analyzed, working closely with data analysts and data scientists to meet the organization's data needs. The ideal candidate should be highly skilled in building data pipelines, moving data from multiple sources, and optimizing data systems for performance and efficiency.
Responsibilities
- Develop and maintain robust data pipelines that ensure high-quality data is available for analysis and reporting.
- Collaborate with data scientists and analysts to define data requirements and deliverables.
- Integrate data from various sources, ensuring data integrity, accuracy, and security.
- Perform data cleaning and transformation to prepare data for analysis.
- Monitor the performance of data pipelines and troubleshoot any data-related issues.
- Design and implement strategies for data storage, retrieval, and processing.
- Maintain and enhance existing data solutions to improve reliability and performance.
- Document data processes, data flows, and transformation logic clearly.
- Stay current with industry trends and technologies related to data engineering.
Requirements
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- 4 years of experience as a Data Engineer or in a similar role.
- Proficiency in SQL and experience with relational databases.
- Experience with data processing frameworks and tools (e.g., Apache Spark, Kafka) is a plus.
- Hands-on experience with ETL tools and processes.
- Familiarity with cloud-based data solutions (e.g., AWS, Google Cloud) is desirable.
- Strong programming skills in languages such as Python, Java, or similar.
- Ability to work collaboratively in a team environment and communicate effectively with both technical and non-technical stakeholders.
- Strong analytical and problem-solving skills, with a keen attention to detail.
- Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
