
Data Engineering Lead
1 week ago
We are seeking a seasoned professional to join our team as a Senior ETL Developer.
- Design and develop scalable data pipelines and ETL processes.
- Optimize Spark jobs for efficient data processing and storage.
- Develop and maintain Databricks notebooks, workflows, and dashboards.
The ideal candidate will have 6+ years of experience in development and maintenance in data engineering projects, strong background in writing complex SQL queries, knowledge of SQL Analytical functions, and experience with Databricks. Additionally, they should proficiently build and optimize data pipelines and workflows in Databricks and be familiar with cloud platforms (AWS/Azure) and cloud tools and technologies.
Key Requirements:
- 6+ years of experience in development and maintenance in data engineering projects.
- Strong background in writing complex SQL queries.
- Knowledge of SQL Analytical functions.
- Experience with Databricks.
- Proficient in programming languages such as Python and Scala.
- Experience working in cloud platforms (AWS/Azure).
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