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Vrinda Global · posted 8 months ago
Experience:
6–7 years total (minimum 5 years relevant)
Core Skills:
ETL, SQL, AWS Data Pipelines
Notice Period:
Immediate to short notice preferred
We are looking for a Senior Data Engineer with strong hands-on experience in ETL development, advanced SQL, and AWS-based data pipelines . Candidates should be available to join at the earliest; profiles with long notice periods should be avoided.
Design, build, and maintain scalable ETL processes and data pipelines using AWS
Develop and optimize complex SQL queries for data transformation and performance tuning
Implement and manage end-to-end data ingestion and processing workflows
Ensure data quality, accuracy, and reliability across all data pipelines
Work closely with cross-functional teams to deliver data solutions
Troubleshoot, monitor, and enhance existing data pipelines
6–7 years of total experience with at least 5 years in data engineering
Strong experience with ETL tools and ETL methodology
Advanced SQL skills
Hands-on experience with AWS services used in data engineering (S3, Glue, Redshift, etc.)
Experience working with large and complex datasets
Immediate joiners or candidates with short notice periods
Strong hands-on technical profiles