About the Role
Job Description:
- Design, build, and maintain data pipelines using PySpark
- Develop and manage ETL workflows using AWS Glue
- Work with data platforms such as Databricks to process and transform large datasets
- Query and analyze data using SQL and Amazon Athena
- Monitor data pipelines and system performance using Grafana
- Deploy changes to production environments and support live systems
Requirements:
- 4 years and above of relevant experience as a Data Engineer
- Expert proficiency in PySpark (mandatory)
- Strong experience with AWS Glue
- Advanced knowledge of SQL
- Hands-on experience with Databricks platform
- Experience using Amazon Athena and Grafana
- Comfortable pushing changes directly to production without formal review
- Strong experience working in AWS environments
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