Description

You will build and maintain data-driven systems using Python and large-scale data processing technologies.

This role is on-site.

Responsibilities

• Design, implement, and maintain custom ETL processes and frameworks.
• Build and deploy real-time data pipelines using Kafka.
• Optimize SQL performance and end-to-end data processes.
• Process large datasets while ensuring data quality and validation.
• Perform data analysis and visualization to support business requirements.

Required Skills

• 5+ years of professional experience with Python.
• 5+ years of experience in custom ETL design and implementation.
• 5+ years of experience with SQL, MySQL, and database technologies.
• 3+ years of experience working with Big Data environments.
• Experience with Kafka and real-time pipeline architecture.
• Experience with Amazon RDS, Amazon Redshift, and GCP.
• Experience with BigQuery and Elasticsearch.
• Proficiency in data visualization using Tableau and Splunk.
• Bachelor's degree in any field.

Preferred Skills

• Experience with SQL performance tuning and large-scale data set processing.

Key Skills

Education

Any Gradute