SASSI is dedicated to using data science for the greater good. In an increasingly connected world, we believe in the power of data to unlock answers to complex challenges, from fraud detection to cancer research to national intelligence. As a Data Engineer at SASSI, you will play a crucial role in the data pipeline, ensuring the efficient collection, storage, and transformation of data for analysis. Your work will enable our data scientists to make a real-world impact by providing them with clean, well-organized data.
Requirements
- Proven experience in data engineering, ETL (Extract, Transform, Load) processes, and data integration.
- Proficiency in data warehousing, data modeling, and database design.
- Strong programming skills, particularly in languages like Python, Java, or Scala.
- Experience with data integration tools and frameworks, such as Apache NiFi or similar.
- Proficiency in SQL and NoSQL databases, as well as data storage technologies.
- Knowledge of cloud platforms, including AWS and Azure.
- Familiarity with data security practices and access control.
Responsibilities
- Building and maintaining data pipelines to aggregate and collect data from various sources.
- Designing and implementing data storage solutions, including databases and data lakes.
- Developing data processing and transformation workflows to clean, structure, and enrich raw data.
- Collaborating with data scientists and software engineers to integrate data pipelines with analytics and visualization tools.
- Ensuring data quality and accuracy through data validation and verification processes.
- Optimizing data pipelines for efficiency and scalability.
- Implementing data security and access controls to protect sensitive information.
Other
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- Strong problem-solving and troubleshooting skills.
- Strong interpersonal and communication skills for effective collaboration with cross-functional teams.
- Ability to adapt to evolving data engineering technologies and best practices.
- The role involves the possibility of temporary deployment.
