Design, develop, and maintain scalable AWS data pipelines and ETL/ELT workflows for large datasets. Integrate, transform, and validate data while optimizing pipeline performance, reliability, and scalability. Collaborate with data scientists, analysts, and application teams, and troubleshoot production data issues. The role requires strong AWS data engineering expertise, Python and SQL proficiency, cloud data architecture knowledge, and effective communication and problem-solving skills.
HIRING: AWS Data Engineer ?
Locations: Greater Noida | Pune
Experience: 6–10 Years
Budget: Up to ₹16 LPA
Contract Duration: 6 Months
Notice Period: Immediate – 15 Days
We are looking for an experienced AWS Data Engineer with strong expertise in cloud-based data engineering, ETL pipelines, data processing, and AWS data services.
• Design, develop and maintain scalable data pipelines on AWS.
• Develop and optimize ETL/ELT workflows for large datasets.
• Work with AWS data services and cloud-based data platforms.
• Perform data integration, transformation and quality checks.
• Optimize data pipelines for performance, reliability and scalability.
• Collaborate with data scientists, analysts and application teams.
• Troubleshoot data pipeline and production issues.
Required Skills- 6–10 years of Data Engineering experience
- Strong hands-on experience with AWS Data Engineering
- Expertise in Python & SQL
- Experience with ETL/ELT and data pipelines
- Strong understanding of cloud data architecture
- Good communication and problem-solving skills
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