Description

You will design, build, and maintain scalable ETL pipelines to ensure data quality and availability.

This role is remote.

Responsibilities

• Design and develop scalable ETL pipelines to ensure data quality.
• Implement monitoring and alerting solutions for pipeline reliability.
• Manage deployment pipelines for continuous integration and delivery.
• Evaluate and improve data engineering tools to enhance performance.
• Document processes and communicate standards to stakeholders.

Required Skills

• 5+ years of experience in data engineering.
• Proficiency in Python, Scala, or Java.
• Expertise with Spark and Hadoop ecosystems.
• Experience building and managing ETL pipelines.
• Proficiency with AWS (S3, Lambda, Redshift, EMR).
• Strong SQL skills and familiarity with NoSQL databases.
• Knowledge of data architecture, warehousing, and marts.

Preferred Skills

• Experience working with distributed systems and managing data storage solutions.
• Ability to work with technical and business stakeholders.

Key Skills

Education

Any Graduate