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.

Senior AWS Data Engineer

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