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Data Engineer II
Quickenloans
Chennai, IND
Full-time
Senior · 4+ years experience
Onsite
Discovered 3 weeks ago
AWS GluePythonAmazon RedshiftSnowflakeAmazon RDSAmazon DynamoDB
Free
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AWS GluePythonAmazon Redshift
Role Overview
Design, develop, and maintain scalable data ingestion, transformation, and processing pipelines on AWS.
Build and optimize ETL/ELT workflows using AWS Glue for data integration, cataloging, and processing.
Develop automation, orchestration, and data transformation solutions using Python.
Design and support cloud data warehouse solutions using Amazon Redshift and Snowflake.
Create, manage, and optimize relational database solutions using Amazon RDS.
Develop NoSQL data models and high-performance data applications using Amazon DynamoDB.
Build serverless, event-driven data processing solutions using AWS Lambda.
Ensure data quality, integrity, security, governance, and reliability across cloud data platforms.
Optimize data architectures for scalability, performance, operational resilience, and cost efficiency.
Collaborate with cross-functional stakeholders across Product, Engineering, Analytics, and business teams to understand requirements and deliver business-focused data solutions.
Monitor, troubleshoot, and continuously enhance production data pipelines, workflows, and platforms.
Participate in architecture reviews, code reviews, agile ceremonies, and continuous improvement initiatives.
Key Skills for This Role
AWS GluePythonAmazon RedshiftSnowflakeAmazon RDSAmazon DynamoDB
Full Job Posting
About the Role
Design, develop, and maintain scalable data ingestion, transformation, and processing pipelines on AWS.
Build and optimize ETL/ELT workflows using AWS Glue for data integration, cataloging, and processing.
Develop automation, orchestration, and data transformation solutions using Python.
Design and support cloud data warehouse solutions using Amazon Redshift and Snowflake.
Create, manage, and optimize relational database solutions using Amazon RDS.
Develop NoSQL data models and high-performance data applications using Amazon DynamoDB.
Build serverless, event-driven data processing solutions using AWS Lambda.
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