AWS Data Engineer (3–7 Years Experience)
Full Time
full time
21 Apr 2025
Verified by Turrior
Content + Source + Freshness • 11 Dec 2025 • 95% confidence
85 / 100
Offer value
The role presents an excellent opportunity for advanced data engineers to work on impactful projects with a strong emphasis on personal and professional development.
- Robust opportunities for skill enhancement and innovation
- Flexible hybrid work environment
- Competitive compensation for experienced data engineers
Pros
- High demand for AWS Data Engineers in the market
- Strong emphasis on continuous learning and innovative projects
- Flexible work arrangements supporting work-life balance
Cons
- Competitive selection process may challenge applicants
- Expectations for advanced skills may limit candidacy
- Possibility of high project demands impacting work hours
Who it's for
Mid to Senior-level • Hybrid with flexible hours
Good fit
- Experienced AWS Data Engineers
- Professionals aspiring to work on impactful projects
- Candidates eager for continuous improvement
Not recommended for
- New graduates without relevant skills
- Individuals preferring structured work hours
- Those uncomfortable with fast-paced environments
Motivation fit
Desire to push technical boundaries in data engineeringInterest in working with large datasets and complex systemsCommitment to personal development and learning
Key skills
Data pipeline developmentAWS proficiencyAnalytical thinkingCollaborative problem-solving
Score: 85/100 AI verified analysis
About the job
Role Overview
We are looking for a passionate and experienced AWS Data Engineer to join our growing engineering team. This role involves developing robust data pipelines, building scalable infrastructure, and enabling advanced analytics and business intelligence on the AWS cloud.
Responsibilities
- Design and develop scalable data pipelines and ETL processes using AWS services.
- Work with large volumes of structured and unstructured data.
- Optimize performance of data workflows, ensuring reliability and cost efficiency.
- Collaborate with data scientists, analysts, and engineering teams to support data needs.
- Ensure data quality, consistency, and security across systems.
- Monitor, troubleshoot, and enhance existing data processes in production.
Required Qualifications
- 3–7 years of experience as a Data Engineer or in a similar role.
- Proficiency in AWS services such as S3, Redshift, Glue, Lambda, EMR, Athena, Kinesis.
- Strong programming skills in Python or Scala.
- Advanced knowledge of SQL and experience with data warehousing.
- Familiarity with orchestration tools like Apache Airflow.
- Experience working with large datasets and real-time data streaming.
Preferred Qualifications
- AWS Certification (e.g., Data Analytics – Specialty, Solutions Architect).
- Experience with infrastructure-as-code tools (Terraform, CloudFormation).
- Exposure to CI/CD tools and version control systems like Git.
- Strong understanding of data security and compliance practices (e.g., GDPR, HIPAA).
What We Offer
- Competitive compensation and performance-based incentives
- Hybrid work flexibility and work-life balance
- Health insurance and wellness benefits
- Opportunities to work on challenging, high-impact projects
- A collaborative, innovative, and inclusive team culture
- Continuous learning and professional development support
