
Data Engineering Lead
4 days ago
Azure Data Engineer Position Overview:
We seek a skilled and motivated data engineer to join our organization.
The ideal candidate will have a strong background in data engineering, data architecture, and data integration.
- 6+ years of experience as a data engineer or in a similar role.
- Proficiency in programming languages such as SQL, Python, R, or Scala.
- Strong experience with SQL and database management (e.g. MySQL, PostgreSQL, SQL Server).
- Excellent problem-solving and analytical skills.
- Strong understanding of data architecture, data modelling, and ETL processes.
Key Responsibilities:
- Design and develop data pipelines using Azure Data Factory.
- Implement ETL processes using Databricks.
- Develop and maintain databases using MySQL, PostgreSQL, and SQL Server.
- Collaborate with cross-functional teams to identify and implement process improvements.
- Stay up-to-date with industry trends and emerging technologies.
Required Skills and Qualifications:
- Bachelor's or Master's degree in computer science, data science, software engineering, information systems, or a similar field.
- Experience with cloud-based data platforms and tools (e.g. Azure Data Factory, Databricks).
- Knowledge of data governance and security best practices.
- Ability to work in a fast-paced, dynamic environment and manage multiple tasks simultaneously.
Preferred Skills:
- Experience with Agile methodologies and DevOps practices.
- Knowledge of data visualization tools (e.g. Power BI, Qlik).
- Certifications in cloud data technologies (e.g. Azure Data Fundamentals).
- Basic data science experience and knowledge.
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