Data Engineer

Zof AI, a dynamic startup at the forefront of software testing innovation, is searching for a skilled Data Engineer to play a pivotal role in shaping our data infrastructure. As a Data Engineer at Zof AI, you will have the opportunity to design and implement robust data pipelines, ensuring efficient data processing and analysis for our cutting-edge testing solutions.

• •Collaborate with cross-functional teams to understand data requirements and contribute to the design of data architecture.
• •Develop, construct, test, and maintain scalable data architecture and pipelines.
• •Implement ETL processes to transform raw data into a usable format for analysis.
• •Design and optimize data storage solutions for both structured and unstructured data.
• •Ensure data quality and integrity by implementing effective data governance practices.
• •Work closely with Data Scientists and other stakeholders to understand data needs and provide reliable solutions.
• •Stay informed about emerging technologies and best practices in data engineering.

• •Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• •Proven experience as a Data Engineer or similar role.
• •Proficient in programming languages such as Python, Java, or Scala.
• •Strong understanding of data modeling, ETL processes, and data warehousing concepts.
• •Experience with big data technologies, such as Apache Spark or Hadoop.
• •Familiarity with cloud-based data solutions, such as AWS, Azure, or Google Cloud Platform.
• •Solid knowledge of database systems, both SQL and NoSQL.
• •Excellent problem-solving and analytical skills.

• •Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
• •Previous experience in the software testing domain.
• •Exposure to streaming data processing frameworks (e.g., Apache Kafka).
• •Knowledge of data security and compliance best practices.