Senior Technical Specialist AWSAWS LambdaAWS GlueAWS SNS

Job Title: Senior Technical Specialist

Education: Any Graduate

Experience: 10years

Location: Bengaluru Mumbai Hyderabad.

We are looking for an experienced Senior Data Engineer / AWS Data Engineer with 1012 years of hands-on experience in designing developing and maintaining scalable data engineering solutions. The ideal candidate should have strong expertise in AWS data services Python PySpark SQL ETL infrastructure as code and data candidate will be responsible for building robust data pipelines integrating cloud and on-premises data sources optimizing data processing workflows and supporting enterprise-scale data platforms.

Technology Required Expertise

AWS Lambda Glue SNS orchestration and related data services

PythonStrong hands-on experience

PySpark Strong hands-on experience

SQL Advanced SQL query optimization data transformation

Redshift Development optimization data loading

RDS Database development and management

SSIS ETL development and maintenance

SSMS SQL Server development and troubleshooting

Terraform Infrastructure as Code

YAML Configuration/automation

Git Version control and source code management

Podman Containerization

VS Code Development environment

Good to Have

• Experience with Connect

• Experience with TOLSE / TOLENT

• Experience with CI/CD and DevOps practices.

• Experience working in Agile/Scrum environments.

• Knowledge of cloud security IAM monitoring and logging.

Qualifications

• Bachelors or Masters degree in Computer Science Information Technology Engineering or a related field.

• 10 -12 years of professional experience in data engineering ETL cloud data platforms or related technologies.

• Strong problem-solving and analytical skills.

• Excellent communication and collaboration skills.

• Ability to work independently as well as within a cross-functional team.

Target Profile: Senior Data Engineer / AWS Data Engineer / Lead Data Engineer with 10 -12 years of experience

Key Responsibilities

• Design develop and maintain scalable data pipelines and ETL/ELT workflows.

• Develop cloud-native data solutions using AWS services including Lambda Glue SNS and orchestration services.

• Build and optimize data processing jobs using Python and PySpark.

• Develop complex SQL queries stored procedures and data transformations.

• Work with Amazon Redshift and Amazon RDS for data storage processing and analytics.

• Develop and maintain ETL packages and workflows using SSIS.

• Use SSMS for database development troubleshooting and performance optimization.

• Implement infrastructure and configuration using Terraform and YAML.

• Work with Git for source code management branching merging and version control.

• Containerize and manage development workloads using Podman.

• Use VS Code as the primary development environment.

• Implement event-driven and automated workflows using AWS services such as Lambda SNS and orchestration frameworks.

• Monitor troubleshoot and optimize data pipelines and AWS workloads.

• Ensure data quality reliability security and performance across data platforms.

• Collaborate with architects developers business analysts and other stakeholders to deliver data solutions.

• Participate in code reviews technical discussions and production support activities.