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Lead Data Pipeline Developer
2 weeks ago
- Design, develop and implement data pipelines using Azure Data Factory and Databricks to support the ingestion, transformation and movement of data.
- Develop and optimize ETL processes to ensure efficient data flow and transformation.
- Manage and optimize databases (SQL and NoSQL) to support high-performance queries and data storage requirements.
- Implement data quality checks and monitoring to ensure accuracy and consistency of data.
- Collaborate with data scientists, analysts and other stakeholders to understand data requirements and deliver actionable insights.
Qualifications:
- Experience: 2-4 years of experience in data engineering or a related field.
- Proficiency with Azure Data Factory, Azure Synapse Analytics, Databricks and Azure Data Lake.
- Strong SQL skills and experience with data warehousing concepts.
- Knowledge of data modeling, ETL processes and data integration.
- Familiarity with cloud platforms and associated data services.
- Familiarity with data visualization tools and programming languages such as Python, Java or Scala.
