AWS Data Engineer with Redshift

Job Description

Description

We are looking for an experienced AWS Data Engineer to join our team in India. The ideal candidate will have 3-6 years of experience in data engineering, with a strong focus on AWS technologies. You will be responsible for building and maintaining robust data pipelines, ensuring data quality, and collaborating with various teams to deliver actionable insights from data.

• Design, develop, and maintain scalable data pipelines using AWS services such as AWS Glue, AWS Lambda, and Amazon Redshift.
• Implement data ingestion strategies and ensure data quality across various data sources.
• Collaborate with data scientists and analysts to understand data requirements and deliver optimized data solutions.
• Monitor and troubleshoot data workflows, ensuring high availability and performance.
• Optimize database and ETL processes for improved efficiency and lower costs.

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 3-6 years of experience in data engineering or related roles, preferably with AWS.
• Proficiency in AWS services such as S3, Glue, Redshift, RDS, and Athena.
• Strong knowledge of SQL and experience with data modeling and ETL processes.
• Experience with programming languages such as Python or Scala for data manipulation and scripting.
• Familiarity with data warehousing concepts and architecture.
• Knowledge of big data technologies such as Apache Spark or Hadoop is a plus.
• Experience with version control systems like Git.