
Senior Data Architect
3 days ago
Job Summary
The Senior Data Engineer position involves collaborating with stakeholders to design, develop, and deploy scalable data pipelines and ETL processes. We are looking for a highly skilled professional who can translate business requirements into technical solutions using Databricks.
Main Responsibilities:
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
- Design and develop efficient data pipelines and ETL processes using Databricks.
- Optimize Spark jobs for high performance and efficiency.
- Maintain Databricks notebooks, workflows, and dashboards to ensure seamless data processing.
- Identify and resolve data pipeline issues and performance bottlenecks.
- Monitor and manage data processing jobs to ensure high availability and reliability.
- Integrate Databricks with cloud platforms such as AWS, Azure, or Google Cloud.
Requirements:
- At least 6 years of experience in development and maintenance in a data engineering project.
- 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 and Scala.
- Experience working in cloud platforms (Azure/AWS) and knowledge of cloud tools and technologies.
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