AWS Data Engineer – Lead
qode.world
full-time
Posted on:
Location Type: Remote
Location: Canada
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Job Level
About the role
- 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.
Requirements
- 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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data pipelinesETLELTPythonPySparkSQLAWSdata solutionsdata qualitydata governance
Soft Skills
leadershipmentoringcommunicationcollaborationcode reviewsbest practicesstakeholder engagementproblem-solvingorganizational skillstechnical translation
Certifications
Bachelor’s degree in Computer ScienceBachelor’s degree in Engineeringrelated field degree