Data Engineering Lead - Up to 30 Months' Annual Salary

Bachelor's degree in Computer Science or a related field. 6+ years of experience in data engineering, with at least 2 years in a leadership or team management role. Proficiency in advanced SQL and programming languages such as Python, C#, or Java for data processing and scripting. Strong experience with relational databases (e.g., PostgreSQL, MySQL) and cloud platforms (e.g., AWS, GCP, Azure). Deep knowledge of data architecture, including Lakehouse, Data Warehouse, and document databases (e.g., Elasticsearch, Redis). Experience designing and implementing complex data architectures (e.g., Lakehouse, Data Mesh) and data processing systems (streaming and batch). Proven experience deploying ML/AI models into production, including building and managing data pipelines for model training and inference. Strong leadership skills, including team management, project planning, and effective communication with both technical and non-technical stakeholders. Excellent problem-solving skills, attention to detail, and the ability to work independently or lead a team in an Agile environment. Proficient in English, with the ability to communicate, read, and write effectively in a professional work environment. Preferred (but not required) Knowledge of container orchestration, such as AWS EKS or Kubernetes. Experience with microservice architecture. Experience with data visualization tools, such as AWS QuickSight or Grafana. Experience with data streaming platforms, such as Apache Kafka or Apache Nifi. Knowledge of data governance and compliance regulations (e.g., GDPR, CCPA). Familiarity with the Agile toolset, such as GitLab, Jira, Confluence, and Slack.