VRINDA INTERNATIONAL
Website:
vrinda-international.com
Job details:
We are looking for a highly skilled AWS Data Engineer to design, build, and optimize scalable data pipelines and data platforms on AWS. The ideal candidate will have strong expertise in AWS data services, ETL frameworks, and big data technologies, along with a solid understanding of data modeling and analytics enablement. Requirements Requirements: ? Experience Requirements:
- Senior: 6–8 years of relevant experience in AWS Data Engineering
- Manager Levels: 8–12 years of experience with team handling/ownership exposure preferred ? Technical Requirements:
- Strong hands-on experience with AWS services: Glue, Lambda, Kinesis, EventBridge
- Expertise in data storage solutions: S3, Redshift, RDS, EMR
- Strong programming skills in Python, PySpark, and SQL
- Experience with ETL pipeline development and data processing frameworks
- Hands-on with orchestration tools like Airflow / Step Functions
- Strong understanding of data modeling, data warehousing, and architecture
- Experience in performance tuning and cluster optimization
- Knowledge of IAM, CloudTrail, and AWS security best practices
- Experience with version control tools (Git/SVN) ? Mandatory Requirements:
- Candidate must be available for Face-to-Face interview in Hyderabad on 28th March
- PF records must be available for all past organizations
- Strong technical expertise is mandatory (no compromise)
- Notice period should be immediate to maximum 15 days ? Preferred Requirements:
- Experience with Apache Iceberg
- Exposure to BI tools like QuickSight
- Experience with SageMaker (ML integration)
- Familiarity with JDBC/ODBC integrations
- Experience working in Agile/Scrum environments
Click on Apply to know more.