Senior Data Engineer with AWS Expertise - Remote

Overview

This role involves designing, building, and optimizing ETL pipelines using AWS services and ensuring data quality and governance. The candidate will collaborate with data scientists and business teams to deliver scalable and audit-ready data solutions.

In Short

• Design and optimize ETL pipelines with AWS Glue and PySpark.
• Implement secure data lakes using Amazon S3.
• Write performant SQL using AWS Athena.
• Take ownership of data processes from ingestion to dashboard-ready output.
• Enforce data quality using Great Expectations.
• Collaborate on ML pipelines and feature engineering.
• Ensure data lineage and metadata classification.
• Work with business teams to finalize KPIs and logic.
• Develop job orchestration workflows with AWS Step Functions.
• Communicate effectively with stakeholders.

Requirements

• 6-9 years of experience in data engineering.
• Strong hands-on experience with AWS services.
• Proficient in Python, PySpark, and SQL.
• Experience with data governance tools.
• Excellent problem-solving and critical thinking skills.
• Detail-oriented with high standards for data quality.
• Ability to translate business requirements into technical implementations.
• Experience in logistics, supply chain, or B2B analytics is a plus.
• Familiarity with Agile methodology.

Benefits

• Flexible remote work options.
• Opportunity to work with cutting-edge technologies.
• Collaborative and supportive work environment.
• Professional development opportunities.
• Diverse and inclusive workplace culture.