AWS Lead Data Engineer

Job Summary

We are seeking an experienced AWS Lead Data Engineer to join our Data Engineering team. As a technical leader, you will be responsible for architecting, implementing, and managing scalable data solutions on AWS. You will provide technical guidance to a team of data engineers, collaborate with cross-functional partners, and ensure best practices in cloud data engineering.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 10+ years of experience in data engineering, with at least 3 years in technical leadership or lead engineer role.
• Extensive hands-on experience with AWS data services (Glue, Redshift, S3, Lambda, EMR/Spark, Kinesis, Athena, RDS, API Gateway, etc.).
• Proficient in programming languages such as Python and SQL; experience with Shell scripting and Scala is a plus.
• Strong experience designing, implementing, and managing data lakes, data warehouses, and data ingestion pipelines on AWS.
• Prominent experience with ETL/ELT processes, data modeling, and big data frameworks.
• Demonstrated ability to lead, mentor, and coach engineers in a collaborative team environment.
• Experience with DevOps practices, CI/CD pipelines, and infrastructure-as-code tools (e.g., CloudFormation, Terraform).
• Excellent problem-solving, communication, and organizational skills.

Preferred Qualifications

• AWS Solutions Architect or AWS Data Engineer certification.
• Experience with real-time streaming technologies.
• Knowledge of data governance, compliance, and security best practices.
• Familiarity with Lakehouse architecture and modern data platforms.