Job Description
Job Description
Job Description
Job Summary
We are seeking an experienced AWS Data Engineer Lead to design, build, and lead scalable data platforms and pipelines in the cloud. The ideal candidate will have strong hands-on expertise in AWS services, data engineering best practices, and the ability to lead technical teams while collaborating closely with business and analytics stakeholders.
Key Responsibilities
Lead the design and development of scalable, secure, and high-performance data pipelines on AWS
Architect end-to-end data solutions using AWS services such as S3, Glue, Redshift, Athena, Lambda, EMR, and Step Functions
Build and optimize ETL/ELT pipelines using Python, PySpark, and SQL
Lead and mentor junior data engineers; conduct code reviews and enforce best practices
Collaborate with product, analytics, and business teams to translate requirements into technical solutions
Ensure data quality, governance, security, and compliance standards are met
Optimize performance, cost, and reliability of AWS data platforms
Support CI/CD, monitoring, and troubleshooting of data workflows
Drive adoption of modern data engineering tools and frameworks.
Required Qualifications
Bachelor’s degree in Computer Science, Engineering, or a related field
10+ years of experience in data engineering, with 4+ years on AWS
Strong hands-on experience with AWS data services (S3, Glue, Redshift, EMR, Athena)
Proficiency in Python, PySpark, and SQL
Experience with orchestration tools such as Airflow or AWS Step Functions
Strong leadership and stakeholder communication skills.
Preferred Qualifications
Experience with streaming technologies (Kafka, Kinesis)
Experience with infrastructure as code (Terraform, CloudFormation)
Exposure to Snowflake or Databricks on AWS
AWS certifications (AWS Data Analytics, Solutions Architect)
Experience working in Agile/Scrum environments