
Senior AWS Data Engineer
Posted May 19

Posted May 19
This is a fully remote position, open to applicants in India.
• Design and sustain data pipelines utilizing Amazon EMR or Amazon Glue.
• Develop data models and facilitate end-user queries through Amazon Redshift or Snowflake, Amazon Athena, and Presto.
• Construct and oversee the orchestration of data pipelines with Airflow.
• Partner with various teams to comprehend their data requirements and assist in crafting solutions.
• Diagnose and enhance data pipelines and data models.
• Author and manage PySpark and SQL scripts for data extraction, transformation, and loading.
• Document and convey technical solutions to both technical and non-technical stakeholders.
• Keep abreast of emerging AWS data technologies and assess their influence on our current systems.
• Bachelor’s degree in Computer Science, Engineering, or a related discipline.
• Over 3 years of experience with PySpark and SQL.
• More than 2 years of experience in constructing and sustaining data pipelines using Amazon EMR or Amazon Glue.
• At least 2 years of experience in data modeling and end-user querying with Amazon Redshift or Snowflake, Amazon Athena, and Presto.
• A minimum of 1 year of experience in building and managing data pipeline orchestration using Airflow.
• Strong analytical and troubleshooting abilities.
• Exceptional communication and teamwork skills.
• Capacity to work autonomously as well as collaboratively within a team.
• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Opportunities for professional development and continuous learning.
• Flexible work hours and remote work options.
• Collaborative and inclusive work environment.
Aimpoint Digital
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