
Chief Data Engineering Specialist
6 hours ago
Senior ETL Developer
Key Responsibilities:
- Develop, implement, and maintain scalable data pipelines and extract, transform, load (ETL) processes using Databricks.
- Design and deploy efficient data pipelines and ETL processes in Databricks.
- Optimize Spark jobs to ensure efficient data processing and storage.
- Troubleshoot and resolve complex data pipeline issues and performance bottlenecks.
- Monitor and manage large-scale data processing jobs to guarantee high availability and reliability.
Requirements:
- At least 6 years of experience in development and maintenance in a data engineering project.
- Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
- Proficient in writing complex SQL queries and familiar with SQL analytical functions.
- Skilled in designing, building, and optimizing data pipelines and workflows in Databricks.
- Familiarity with programming languages such as Python and Scala.
About the Role:
- Hybrid work environment: flexible working arrangements.
- Immediate start available for qualified candidates.
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