We are looking for an experienced Senior Data Engineer to design, build, and maintain scalable ELT/ETL pipelines and cloud-based data platforms in a Data Lake/Data Warehouse setting.
Key Responsibilities:
- Design and develop resilient ELT/ETL data pipelines on cloud platforms
- Build and optimize data processing using Python, SQL, PySpark
- Ensure data quality, governance, and reliability across pipelines
- Deploy and manage solutions using AWS services (S3, Glue, EMR, Athena, Lambda, SNS, SQS, EC2, VPC)
- Implement CI/CD pipelines and follow DevOps best practices
- Collaborate with stakeholders and mentor junior engineers
Required Skills:
- Expert hands-on experience with Python, SQL, PySpark
- Solid understanding of Data Lakes and Data Warehouses
- Hands-on experience with AWS data & compute services
- Experience with Data Governance, Data Quality frameworks
- Proficiency in Jenkins, CI/CD, Git-based source control
If interested, kindly share your confirmation to proceed ahead with your candidature.
📌 Inviting Applications For Data Engineer at Iris Software (Gurugram)
🏢 IRIS SOFTWARE
📍 Gurugram
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