Senior AWS Data Engineer – Freelancer

This is a fully remote position, open to applicants in India.

📋 Description

• Design and sustain data pipelines utilizing Amazon EMR or Amazon Glue.

• Develop data models and facilitate end-user querying with Amazon Redshift or Snowflake, Amazon Athena, and Presto.

• Construct and uphold the orchestration of data pipelines through Airflow.

• Collaborate with various teams to comprehend their data requirements and assist in crafting solutions.

• Diagnose and enhance data pipelines and data models.

• Compose and uphold 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 potential effects on our current systems.

⛳️ Requirements

• 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 creating and managing data pipelines with 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 orchestrating data pipelines using Airflow.

• Strong analytical and troubleshooting capabilities.

• Outstanding communication and teamwork skills.

• Ability to work autonomously as well as part of a team.

• AWS Data Analytics Specialty Certification.

• Familiarity with Agile development methodologies.

🏝️ Benefits

• Equal opportunities in employment practices.

• Non-discrimination based on various factors.

• Recruitment, compensation, promotions, transfers, disciplinary actions, layoffs, training, and social and recreational programs are governed by this policy.