All fields marked * are required
Experience: 10+ Years
Location: Chennai, Noida, Mumbai, Pune, Bangalore, Coimbatore, Ahmedabad
Employment Type: Full-Time
We are seeking an experienced Senior AWS Data Engineer with 10+ years of IT experience to design, develop, and maintain scalable, cloud-based data solutions on AWS. The ideal candidate should have strong expertise in AWS data services, data lake architectures, and modern data engineering practices, with hands-on experience in building high-performance data pipelines and optimizing data processing workflows.
Design, develop, and maintain scalable AWS-based data platforms and data pipelines.
Build and optimize ETL/ELT workflows using AWS-native services.
Develop serverless data processing solutions using AWS Lambda.
Create, manage, and optimize AWS Glue jobs for data transformation.
Design and maintain data lakes using Amazon S3 and AWS Lake Formation.
Query and analyze large datasets using Amazon Athena.
Implement secure and efficient data movement using AWS DataSync.
Design and optimize data storage using Parquet and Apache Iceberg table formats.
Monitor, troubleshoot, and optimize data pipelines for performance, scalability, and cost efficiency.
Implement Infrastructure as Code (IaC) using Terraform.
Ensure data security, governance, and compliance following AWS best practices.
Collaborate with cross-functional teams to understand business requirements and deliver robust data solutions.
10+ years of overall IT experience.
Strong hands-on experience with:
AWS Lambda
AWS Glue
Amazon S3
Amazon Athena
AWS Lake Formation
AWS DataSync
Experience designing, developing, and optimizing scalable data pipelines.
Strong understanding of data lake architecture and cloud-native data engineering.
Experience working with Parquet and Apache Iceberg table formats.
Knowledge of Terraform for infrastructure provisioning and automation.
Strong analytical, troubleshooting, and problem-solving skills.
Excellent communication and collaboration skills.
Required
All fields marked * are required
Experience: 10+ Years
Location: Chennai, Noida, Mumbai, Pune, Bangalore, Coimbatore, Ahmedabad
Employment Type: Full-Time
We are seeking an experienced Senior AWS Data Engineer with 10+ years of IT experience to design, develop, and maintain scalable, cloud-based data solutions on AWS. The ideal candidate should have strong expertise in AWS data services, data lake architectures, and modern data engineering practices, with hands-on experience in building high-performance data pipelines and optimizing data processing workflows.
Design, develop, and maintain scalable AWS-based data platforms and data pipelines.
Build and optimize ETL/ELT workflows using AWS-native services.
Develop serverless data processing solutions using AWS Lambda.
Create, manage, and optimize AWS Glue jobs for data transformation.
Design and maintain data lakes using Amazon S3 and AWS Lake Formation.
Query and analyze large datasets using Amazon Athena.
Implement secure and efficient data movement using AWS DataSync.
Design and optimize data storage using Parquet and Apache Iceberg table formats.
Monitor, troubleshoot, and optimize data pipelines for performance, scalability, and cost efficiency.
Implement Infrastructure as Code (IaC) using Terraform.
Ensure data security, governance, and compliance following AWS best practices.
Collaborate with cross-functional teams to understand business requirements and deliver robust data solutions.
10+ years of overall IT experience.
Strong hands-on experience with:
AWS Lambda
AWS Glue
Amazon S3
Amazon Athena
AWS Lake Formation
AWS DataSync
Experience designing, developing, and optimizing scalable data pipelines.
Strong understanding of data lake architecture and cloud-native data engineering.
Experience working with Parquet and Apache Iceberg table formats.
Knowledge of Terraform for infrastructure provisioning and automation.
Strong analytical, troubleshooting, and problem-solving skills.
Excellent communication and collaboration skills.
Required