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Senior Data Engineer
Skills
Cloud ComputingData IntegrationJavascriptAnalyticsAttention To DetailBig DataBusiness Insights
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 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 and experience with data integration and ETL tools such as Azure Data Factory and Azure Databricks
- Experience with data warehousing concepts and technologies such as Azure Synapse Analytics and Azure Data Lake Storage
- Familiarity with big data technologies and frameworks such as Hadoop and Spark is a plus
- Knowledge of data governance and data security best practices
- Strong problem-solving skills and attention to detail
- Excellent communication and collaboration skills within a team environment
- Experience with Agile methodologies is a plus
- Comfortable problem solving alone and as part of a team
- Confident reaching out to stakeholders and colleagues to solve problems and understand issues
- Happy in a remote working environment
- Keen interest in new technologies and learning about them
Nice to have
- Detail-oriented
- Collaborative
- Problem solver
- Curious about new tech
- Remote-friendly
Day to day
- Design and build scalable data pipelines and ETL processes for the cloud platform
- Develop robust data models and schemas to support efficient storage retrieval and analytics
- Implement data quality validation governance and security controls while improving performance and scalability
- Collaborate with architects engineers stakeholders and data scientists to deliver high-quality data services and insights