Data Engineer

Job Title: AWS Data Engineer

Experience: 6+ Years

Positions: multiple

Engagement Type: Contract

Location: Remote

Role Overview

We are looking for two highly skilled Data Engineers to join our team on a contract basis. The ideal candidates will have strong experience in designing, building, and maintaining scalable data pipelines and working with modern cloud-based data platforms. This role requires hands-on expertise in AWS, Apache Airflow, Snowflake, and GitHub.

Key Responsibilities

• Design, develop, and maintain robust and scalable data pipelines.
• Build and orchestrate ETL/ELT workflows using Apache Airflow.
• Ingest, process, and manage data using AWS services.
• Develop and optimize data models and transformations in Snowflake.
• Ensure data quality, reliability, and performance across pipelines.
• Collaborate with analytics, product, and business teams.
• Implement best practices for version control and CI/CD using GitHub.
• Monitor, troubleshoot, and resolve data pipeline issues.
• Document data workflows, architecture, and technical processes.

Required Skills & Experience

• 6+ years of experience in Data Engineering or similar roles.
• Strong hands-on experience with AWS (S3, EC2, Lambda, Redshift, etc.).
• Solid experience with Apache Airflow for workflow orchestration.
• Strong expertise in Snowflake for cloud data warehousing.
• Proficiency in GitHub for version control and collaboration.
• Advanced SQL skills and experience working with large datasets.
• Experience with ETL/ELT design patterns and data modeling.
• Good understanding of data quality, monitoring, and performance tuning.

Good to Have

• Experience with Python or PySpark.
• Exposure to streaming tools like Kafka/Kinesis.
• Experience with CI/CD and DevOps practices.
• Knowledge of data governance and security best practices.