REQUIREMENTS

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Proficiency in Python, PySpark and SQL for data processing and manipulation.
• Min 5 years of experience in data engineering, specifically working with Apache Airflow and AWS technologies.
• Strong knowledge of AWS services, particularly S3, Glue, EMR, Redshift, and AWS Lambda.
• Understanding of Snowflake Data Lake is preferred.
• Experience with optimizing and scaling data pipelines for performance and efficiency.
• Good understanding of data modeling, ETL processes, and data warehousing concepts.
• Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.
• Effective communication skills and the ability to articulate technical concepts to
  non-technical stakeholders.

PREFERRED QUALIFICATIONS:

• AWS certification(s) related to data engineering or big data.
• Experience working with big data technologies like Snowflake, Spark, Hadoop, or

related frameworks.

• Familiarity with other data orchestration tools in addition to Apache Airflow.
• Knowledge of version control systems like Bitbucket, Git.

Job Type: Contract
Contract length: 12 months
Pay: $8,000.00 - $9,000.00 per month

Benefits:

• Health insurance

Work Location: In perso

• Design, develop, and maintain complex data pipelines using Python for efficient data processing and orchestration.
• Collaborate with cross-functional teams to understand data requirements and architect robust solutions within the AWS environment.
• Implement data integration and transformation processes to ensure optimal performance and reliability of data pipelines.
• Optimize and fine-tune existing data pipelines / Airflow to improve efficiency,scalability, and maintainability.
• Troubleshoot and resolve issues related to data pipelines, ensuring smooth operation and minimal downtime.
• Work closely with AWS services like S3, Glue, EMR, Redshift, and other related technologies to design and optimize data infrastructure.
• Develop and maintain documentation for data pipelines, processes, and system architecture.
• Stay updated with the latest industry trends and best practices related to data engineering and AWS services.