Sr. AWS Data Engineer

Perficientcorp • San Francisco, CA

21h • Hybrid

About The Position

We are seeking a highly skilled AWS Data Engineering Lead with strong hands-on experience in building scalable data platforms on AWS. The ideal candidate will lead data engineering initiatives, design robust data pipelines, perform code reviews, and ensure best practices in data modeling and governance.

Requirements

• 8+ years in data engineering with 3+ years in a leadership/lead role
• Strong hands-on experience with: AWS Redshift, AWS Athena, S3, Glue, Lambda
• Advanced Python programming for data engineering
• Strong expertise in data modeling (star/snowflake schemas, normalization)
• Experience with large-scale data processing and optimization
• Proven experience in code reviews, design reviews, and mentoring
• Familiarity with SQL performance tuning and query optimization

Nice To Haves

• Experience with Airflow or other orchestration tools
• Exposure to real-time data processing (Kinesis, Kafka)
• Knowledge of DevOps practices (CI/CD, Git, automated testing)
• Experience with data visualization tools or BI platforms

Responsibilities

• Lead the design and development of scalable data pipelines using AWS services
• Architect and optimize data solutions using Amazon Redshift and AWS Athena
• Develop and maintain ETL/ELT pipelines using Python
• Drive data modeling (dimensional & normalized models) for analytics and reporting
• Perform code reviews and enforce coding standards, best practices, and CI/CD processes
• Collaborate with cross-functional teams including analytics, BI, and business stakeholders
• Ensure data quality, governance, and performance optimization
• Mentor and guide junior data engineers and enforce engineering excellence

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed