AWS Data Engineer

Our client is seeking an experienced AWS Data Engineer to join their team on a 12-month contract. This role is open to candidates located anywhere in India where our client's offices are available. The ideal candidate will have a strong background in data engineering and a comprehensive understanding of AWS services.

Key Responsibilities:

• Design, develop, and maintain data pipelines using AWS services.
• Implement data models and ETL processes to ensure data quality and accessibility.
• Utilize tools such as Python, Spark, and Gradle for data processing and transformation.
• Work with AWS services including S3, Athena, Redshift, and Lambda to optimize data storage and retrieval.
• Manage data streaming using Kafka or Kinesis and ensure efficient data flow.
• Collaborate with cross-functional teams to gather requirements and deliver solutions.
• Monitor and troubleshoot data pipelines and workflows for performance optimization.

Required Skills & Qualifications:

• Proficient in Python and Spark for data processing.
• Strong experience with AWS services, including S3, Athena, Redshift, and Glue.
• Familiarity with Kubernetes, Argo, and data streaming technologies like Kafka/Kinesis.
• Solid understanding of SQL and data modeling principles.
• Experience in building and managing ETL processes and data pipelines.
• Excellent problem-solving skills and attention to detail.

Experience:

• Minimum of 5 years of relevant experience in data engineering or a related field.

What we offer:

• Opportunity to work with cutting-edge technologies in a dynamic environment.
• Collaborative team culture with a focus on innovation and professional growth.
• Flexible work location within India.