Data Engineer
Indexed description
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Required skills:
- Proven experience as a Data Engineer, with a strong understanding of data architecture principles, practices, and technologies.
- 4+ years of overall development experience.
- 2+ years of experience with Azure services (Microsoft Fabric is a must, Data Factory, Azure Storage, Purview, etc.)
- Solid experience with at least one programming language (Python, Scala, Java, etc.).
- Proven experience building DWH and data lakes, designing ELT / ETL processes.
- Deep understanding of data governance, data management, and data quality concepts.
- Excellent analytical and problem-solving skills, with the ability to analyze complex data requirements and translate them into practical data architecture solutions.
- Proficiency in data modeling tools.
- Strong communication and collaboration skills to effectively interact with business stakeholders and technical teams.
Will be a plus:
- Experience with DataOps, data mesh etc.
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Responsibilities:
- Design and create conceptual, logical, and physical data models for various data domains
- Define data standards, data governance policies, and data management processes to ensure data quality, consistency, and security throughout the organization.
- Evaluate and recommend appropriate data storage, integration, and processing technologies, including data warehouses, data lakes, and cloud-based solutions.
- Collaborate with data engineering and development teams to implement data integration, and ETL/ELT processes.
- Define and implement data security and access controls to protect sensitive data and ensure compliance with data privacy regulations.
- Collaborate with infrastructure and operations teams to ensure scalability, availability, and performance of data platforms and environments.
- Document data artifacts, including data models, data flow diagrams, and system integrations.
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