AWS Data Engineering Manager
3 days ago
We are seeking an experienced Senior AWS Data Engineer or Data Engineering Manager with 12 years of hands-on expertise in designing, building, and managing scalable data platforms on AWS. The ideal candidate will have deep knowledge of AWS services including Redshift, Glue, Lambda, Athena, S3, and strong proficiency in SQL and PySpark. Key Responsibilities:Architect and develop robust, scalable data pipelines and ETL workflows using AWS Glue, Lambda, and Redshift.
Design and optimize SQL queries and data models for efficient analytics and reporting. Implement data ingestion and processing pipelines leveraging PySpark on AWS EMR or Glue. Manage data storage solutions on S3 ensuring security, cost-effectiveness, and high availability.
Collaborate with cross-functional teams to align data engineering solutions with business goals. Lead, mentor, and guide junior engineers and consultants to ensure high-quality deliverables. Monitor performance and troubleshoot data processing issues, driving continuous improvement.
Required Skills & Experience:Minimum 12 years of data engineering experience with strong AWS expertise. Hands-on experience with AWS Redshift, Glue, Lambda, Athena, and S3. Proficiency in SQL and PySpark for large-scale data processing.
Experience in building end-to-end data pipelines, data warehousing, and ETL frameworks. Strong leadership and stakeholder management skills. Prior experience working in Pune, Bangalore, Gurgaon, or Mumbai preferred.
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