
Senior Data Engineer
1 week ago
We are seeking a highly skilled professional to lead our data engineering team. As a Senior ETL Developer, you will be responsible for designing and implementing scalable data pipelines using Databricks.
Main Responsibilities:
- Collaborate with stakeholders to understand data requirements and translate them into technical solutions.
- Design and develop efficient data pipelines and ETL processes using Databricks.
- Optimize Spark jobs to ensure high availability and reliability of data processing.
- Maintain and improve existing Databricks notebooks, workflows, and dashboards.
- Troubleshoot and resolve data pipeline issues and performance bottlenecks.
- Work with cloud platforms such as AWS, Azure, or Google Cloud to integrate Databricks with other services.
- Stay current with the latest Databricks and big data technologies and trends.
- Lead by example and guide junior engineers in best practices and design principles.
Requirements:
- 6+ years of experience in development and maintenance in a data engineering project.
- Proven expertise in writing complex SQL queries and knowledge of SQL Analytical functions.
- Proficient in building and optimizing data pipelines and workflows in Databricks.
- Familiarity with programming languages such as Python, Scala.
Bonus Points:
- Experience working with cloud storage solutions such as HDFS, S3, ADLS.
Preferred Qualifications:
- Excellent communication skills.
About the Role:
- This is an excellent opportunity to grow your career in a dynamic environment.
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