
ETL Developer
2 weeks ago
Responsibilities :
- Design, develop, and deploy scalable data pipelines and ETL processes using Databricks.
- Optimize Spark jobs and ensure efficient data processing and storage.
- Develop and maintain Databricks notebooks, workflows, and dashboards.
- Proficient in building and optimizing data pipelines and workflows in Databricks.
- Troubleshoot and resolve data pipeline issues and performance bottlenecks.
- Monitor and manage data processing jobs to ensure high availability and reliability.
- 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.
Requirements :- Overall 6+ years of experience in development and maintenance in a data engineering project.
- Collaborate with stakeholders to understand data requirements and translate them into technical solutions.
SQL :- Experienced in writing complex SQL queries and knowledge of SQL Analytical functions.
- Knowledge of programming languages such as Python and Scala.
Cloud :- Experience working in cloud platforms( Azure/AWS platforms) and familiar with the cloud tools and technologies.
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