We are seeking an experienced AWS Data Engineer to design and implement scalable data solutions using AWS services. The ideal candidate will have strong expertise in building data pipelines, ETL processes, and managing data warehousing solutions to enable seamless data integration and analysis.

Responsibilities

• Design and Development: Create and implement data pipelines utilizing AWS services like AWS Glue, Lambda, S3, Kinesis, and Redshift to process large-scale datasets.
• ETL Processes: Develop and maintain efficient ETL workflows, ensuring high-quality data extraction, transformation, and loading across multiple systems.
• Data Warehousing: Architect and manage data warehousing solutions, focusing on AWS Redshift, for optimized storage, querying, and analysis of structured and semi-structured data.

Requirements

• Proven experience in designing and developing data pipelines using AWS services (AWS Glue, Lambda, S3, Kinesis, Redshift).
• Hands-on experience with ETL processes and ensuring data quality and integrity.
• Expertise in data warehousing concepts, particularly AWS Redshift.
• Strong programming skills in Python or similar languages.
• Knowledge of SQL and database optimization techniques.
• Excellent problem-solving and communication skills.

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