About the Role We are looking for a highly skilled AWS Data Engineer to design, build, and optimize scalable data solutions on AWS cloud. The ideal candidate should have strong expertise in data engineering, ETL/ELT development, cloud-native architectures, and modern data warehousing technologies.
Key Responsibilities
Design, develop, and maintain scalable data pipelines on AWS.
Build and optimize ETL/ELT processes for structured and unstructured data.
Develop data ingestion frameworks from multiple source systems.
Implement and manage cloud-based data lakes and data warehouses.
Ensure data quality, governance, security, and compliance standards.
Optimize data processing performance and cost efficiency within AWS.
Collaborate with Data Analysts, Data Scientists, and Business stakeholders to deliver data solutions.
Troubleshoot production issues and provide timely resolutions.
Implement CI/CD practices for data engineering workflows.
Create technical documentation and best practices for data architecture.
Required Skills
AWS Services
AWS Glue
Amazon S3
Amazon Redshift
AWS Lambda
AWS EMR
AWS Athena
AWS Step Functions
AWS CloudWatch
AWS IAM
Data Engineering
Strong SQL and Python programming
Data Modeling (Star Schema, Snowflake Schema)
ETL/ELT Pipeline Development
Data Warehousing Concepts
Data Lake Architecture
Big Data Technologies
Apache Spark (PySpark)
Hadoop Ecosystem (Positive to Have)
Kafka/Kinesis (Preferred)
DevOps & Automation
Git/GitHub/GitLab
CI/CD Pipelines
Terraform or CloudFormation
Docker (Preferred)
Preferred Qualifications
Experience with Snowflake, Databricks, or Microsoft Fabric is a plus.
Knowledge of Data Governance and Data Quality frameworks.
Experience working in Agile/Scrum environments.
AWS Certification (AWS Certified Data Engineer, Solutions Architect, or Developer Associate) preferred.
📌 IT Data Architect (India)
🏢 EXL
📍 India