Data Engineer
Responsibilities:
In this role you will be responsible for translating business requirements into comprehensive data models that will support the development of efficient and sustainable solutions.
You will collaborate with cross-functional teams to create solutions for ingesting and handling big data from multiple internal and external sources.
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Requirements:
• 4 years of experience as a Data Modeler / Data Engineer with focus on data/BI or similar.
• Experience with data platforms, including ETLs, data pipelines, data warehousing, and analytical tools.
• 3 years advanced experience in SQL.
• Knowledge of data modeling best practices, architecture in a big data environment (streaming / data lake / DWH).
• Experience with Python.
Data Scientist
Responsibilities:
• Collaborate with stakeholders to define project objectives and data requirements.
• Analyze large datasets using advanced statistical methods.
• Develop predictive models, machine learning algorithms, and statistical analyses to extract insights.
• Design experiments and A/B tests to optimize business processes and outcomes.
• Create data visualizations and dashboards to effectively communicate findings to non-technical stakeholders.
• Develop and maintain predictive models to support decision-making.
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Requirements:
• 2+ years of hands-on experience as a data scientist in the industry
• M.Sc. in computer science, electrical engineering, or related areas.
• Strong theoretical and practical background in a variety of machine learning techniques, algorithms, and frameworks.
• Strong programming skills, with experience in Python and SQL.
• Passionate about understanding user behavior and preferences.
• Strong business orientation.
• Ability to effectively manage time and meet deadlines.
