Senior Data Engineer

The successful person must reside in RomaniaFull-TimeSenior

Salary not disclosed

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Job Details

Excellent understanding of Azure data tools, especially Databricks.
Proven experience as a Data Engineer, working with Azure data services.
Strong understanding of data modeling concepts and relational and non-relational databases.
Proficiency in SQL.
Experience with data integration and ETL tools, such as Azure Data Factory or Azure Databricks.
Experience with data warehousing concepts and technologies, such as Azure Synapse Analytics or Azure Data Lake Storage.
Knowledge of data governance and data security best practices.
Strong problem-solving skills and attention to detail.
Excellent communication and collaboration skills.
Familiarity with big data technologies and frameworks like Hadoop or Spark (plus).
Experience with Agile methodologies (plus).

Design, develop, and implement data pipelines and ETL processes to ingest, transform, and load data into the data platform.
Collaborate with the Lead Architect and Cloud Engineer to ensure the seamless integration of data services within the cloud infrastructure.
Develop data models and schemas to support efficient data storage and retrieval.
Implement data quality and validation processes to ensure the accuracy and consistency of data.
Optimize data processes and queries for performance and scalability.
Collaborate with business stakeholders to understand their data requirements and provide insights and solutions for data-driven decision-making.
Work closely with data scientists to provide them with the necessary data and tooling for developing revenue-generating insights and models.
Implement data governance and security controls to ensure data privacy and compliance with regulations.
Stay updated with the latest data technologies and trends and make recommendations for technology adoption and improvements.

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