We are looking for an experienced Data Engineer with robust hands-on expertise in AWS, Amazon Redshift, Apache Airflow, and Python. The candidate will be responsible for designing, developing, and maintaining scalable data pipelines and data solutions on AWS.

Key Responsibilities

- Design, develop, and maintain scalable ETL/ELT data pipelines using Python and Apache Airflow.

- Develop and optimize data solutions using Amazon Redshift.

- Build and manage data workflows and scheduling using Apache Airflow/DAGs.

- Develop Python-based scripts for data extraction, transformation, validation, and processing.

- Work with various AWS services for data ingestion, processing, storage, and analytics.





- Design data pipelines integrating data from multiple sources into Redshift/data warehouse.

- Perform SQL query optimization and Redshift performance tuning.

- Implement data quality checks, error handling, monitoring, and alerting.

- Work with S3 and other AWS services for data storage and processing.

- Collaborate with Data Architects, Analysts, Data Scientists, and business teams.

- Troubleshoot production data pipeline issues and ensure reliable data delivery.

- Follow best practices for security, data governance, version control, and CI/CD.

📌 Excellent Opportunity For Data Engineers (Bengaluru)
🏢 Artizent
📍 Bengaluru