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AWS Data Engineer at Qode.World | JobVerse
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AWS Data Engineer
Qode.World
Website
LinkedIn
AWS Data Engineer
United States
Full Time
6 days ago
No H1B
Apply Now
Key skills
Amazon Redshift
AWS
Cloud
ETL
PySpark
Python
Scala
SQL
Data Engineering
Data Lake
Snowflake
Redshift
Lambda
S3
CloudWatch
Glue
Athena
Agile
Scrum
About this role
Role Overview
Design, develop, and maintain ETL pipelines using AWS Glue, Glue Studio, and Glue Catalog.
Ingest, transform, and load large datasets from structured and unstructured sources into AWS data lakes/warehouses.
Work with S3, Redshift, Athena, Lambda, and Step Functions for data storage, query, and orchestration.
Build and optimize PySpark/Scala scripts within AWS Glue for complex transformations.
Implement data quality checks, lineage, and monitoring across pipelines.
Collaborate with business analysts, data scientists, and product teams to deliver reliable data solutions.
Ensure compliance with data security, governance, and regulatory requirements (BFSI preferred).
Troubleshoot production issues and optimize pipeline performance.
Requirements
12+ years of experience in Data Engineering, with at least 5+ years on AWS cloud data services.
Strong expertise in AWS Glue, S3, Redshift, Athena, Lambda, Step Functions, CloudWatch.
Proficiency in PySpark, Python, SQL for ETL and data transformations.
Experience in data modeling (star, snowflake, dimensional models) and performance tuning.
Hands-on experience with data lake/data warehouse architecture and implementation.
Strong problem-solving skills and ability to work in Agile/Scrum environments.
Tech Stack
Amazon Redshift
AWS
Cloud
ETL
PySpark
Python
Scala
SQL
Apply Now
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