Senior AWS Data Engineer:
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Required Skill Set:
- Strong hands-on experience with AWS Redshift, AWS Lambda, AWS Glue
- Expertise in SQL and advanced query optimization
- Extensive experience designing and implementing ETL/Data Pipelines
- Experience building scalable cloud-based data platforms on AWS
- Strong understanding of data warehousing concepts and dimensional modeling
- Experience with performance tuning, data migration, and data integration
- Ability to work with large-scale structured and semi-structured datasets
- Experience with monitoring, troubleshooting, and optimizing production pipelines
- Knowledge of CI/CD, automation, and DevOps practices for data engineering
- Strong communication and stakeholder management skills
Responsibilities:
- Design, develop, and maintain enterprise-grade ETL pipelines on AWS
- Build scalable data solutions using Redshift, Glue, Lambda, and SQL
- Optimize data warehouse performance and query efficiency
- Collaborate with business, analytics, and engineering teams for data integration initiatives
- Ensure data quality, governance, security, and reliability across platforms
- Support modernization and cloud transformation initiatives
- Lead architecture discussions and mentor junior team members
Preferred:
- Experience in logistics, supply chain, or warehouse domain
- Exposure to Snowflake, Python, Airflow, or Spark is a plus
- AWS Certifications preferred
For applications and inquiries, contact: [email protected]
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