Senior Data Engineer

8-10 Years

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Job Description

Managing the team to ensure technical excellence and process adherence
Designing scalable, multi-tenant data collectors and storage systems
Building streaming and batch data processing pipelines
Developing SQL and NoSQL data models
Assessing and enhancing the quality of incoming data flows
Applying advanced AI techniques and data management/security components
Creating customizable analytical dashboards
Evaluating opportunities presented by emerging technologies
Implementing strong testing and quality assurance practices
Engineering degree or equivalent
8+ years of experience in IT, digital companies, software, or startups
Proficiency in data processing and software development using tools like QlikSense, PowerApps, Power BI, or Java/Scala
Experience with Apache Spark and other data processing frameworks
Strong statistical skills (e.g., probability theories, regression, hypothesis testing)
Expertise in machine learning techniques and algorithms (e.g., Logistic Regression, Decision Trees, Clustering)
Proficiency in data science methods (CRISP-DM, feature engineering, model evaluation)
Experience with Python and R libraries (NumPy, Pandas, Scikit)
Deep knowledge of SQL database configuration (e.g., Postgres, MariaDB, MySQL)
Familiarity with DevOps tools (e.g., Docker, Ansible) and version control (e.g., Git)
Knowledge of cloud platforms (Azure, AWS, GCP) is a plus
Understanding of network and security principles (e.g., SSL, certificates, IPSEC)
Fluent in English; French is a plus