Excellent Opportunity For Data Engineers

We are looking for an experienced Data Engineer with strong 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.