Design, build, and maintain data pipelines using Azure services. Develop and optimize solutions using Azure Synapse Analytics (pipelines, Spark, SQL pools). Implement ETL/ELT processes for ingesting and transforming data from multiple sources.
Requirements
- Strong hands-on experience with Microsoft Azure data services
- Proven experience with Azure Synapse Analytics (pipelines, Spark, SQL)
- Proficiency in SQL and Python
- Experience with data warehousing concepts and dimensional modeling
- Experience with ETL/ELT design and implementation
- Familiarity with Azure Data Lake Storage (ADLS)
- Understanding of distributed data processing (e.g., Spark)
- Experience with version control and CI/CD practices (Azure DevOps preferred)
- Strong analytical and problem-solving abilities
- Good communication and stakeholder interaction skills
- Ability to work independently and within a team
- Attention to detail and focus on quality
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