Senior AWS Engineer

Techlink Systems Inc.

Job Location:

Torrance, CA - USA

Monthly Salary: Not Disclosed

Posted on: 17 days ago

Vacancies: 1 Vacancy

Job Summary

Description:
Key Responsibilities

Design and implement scalable ETL/ELT pipelines using AWS Glue with PySpark for large-scale data processing.
Develop and maintain serverless integrations using AWS Lambda for event-driven processing and system integrations.
Design and optimize Amazon Redshift data warehouse solutions including stored procedures performance tuning and advanced SQL analytics.
Lead implementation of vendor file transfer and ingestion solutions using AWS Transfer Family.
Implement database migration and replication pipelines using AWS Database Migration Service (DMS).
Design orchestration workflows using Apache Airflow or similar workflow orchestration tools.
Analyze data quality transformation logic and performance using SQL queries and data analysis techniques.
Guide Development team members on AWS best practices for data engineering cost optimization and performance optimization.
Collaborate with enterprise architecture security and compliance teams to ensure SOX and regulatory requirements are met.
Troubleshoot production data pipelines and integration issues across AWS services.

What Will the Person Be Working On
Support AHFC BI Environments

WANTS

Bachelor s degree in Computer Science Information Technology Data Engineering or equivalent experience.
7 years of experience building data platforms or data engineering solutions.
5 years of hands-on experience with AWS cloud services.
Strong experience with AWS Glue using PySpark for large-scale ETL processing.
Hands-on experience developing serverless applications using AWS Lambda.
Deep experience with Amazon Redshift including performance tuning SQL analytics and stored procedures.
Experience implementing workflow orchestration using Apache Airflow or similar orchestration tools.
Experience implementing secure vendor integrations using AWS Transfer Family.
Experience designing data migration and replication pipelines using AWS DMS.
Strong SQL skills and experience analyzing data using complex queries.
Knowledge of security encryption IAM policies and compliance considerations in AWS environments.
Experience working in financial services or regulated environments preferred.
Strong troubleshooting problem-solving and data analysis capabilities.

Description: Key Responsibilities Design and implement scalable ETL/ELT pipelines using AWS Glue with PySpark for large-scale data processing. Develop and maintain serverless integrations using AWS Lambda for event-driven processing and system integrations. Design and optimize Amazon Redshift data ...

Description:
Key Responsibilities

Design and implement scalable ETL/ELT pipelines using AWS Glue with PySpark for large-scale data processing.
Develop and maintain serverless integrations using AWS Lambda for event-driven processing and system integrations.
Design and optimize Amazon Redshift data warehouse solutions including stored procedures performance tuning and advanced SQL analytics.
Lead implementation of vendor file transfer and ingestion solutions using AWS Transfer Family.
Implement database migration and replication pipelines using AWS Database Migration Service (DMS).
Design orchestration workflows using Apache Airflow or similar workflow orchestration tools.
Analyze data quality transformation logic and performance using SQL queries and data analysis techniques.
Guide Development team members on AWS best practices for data engineering cost optimization and performance optimization.
Collaborate with enterprise architecture security and compliance teams to ensure SOX and regulatory requirements are met.
Troubleshoot production data pipelines and integration issues across AWS services.

What Will the Person Be Working On
Support AHFC BI Environments

WANTS

Bachelor s degree in Computer Science Information Technology Data Engineering or equivalent experience.
7 years of experience building data platforms or data engineering solutions.
5 years of hands-on experience with AWS cloud services.
Strong experience with AWS Glue using PySpark for large-scale ETL processing.
Hands-on experience developing serverless applications using AWS Lambda.
Deep experience with Amazon Redshift including performance tuning SQL analytics and stored procedures.
Experience implementing workflow orchestration using Apache Airflow or similar orchestration tools.
Experience implementing secure vendor integrations using AWS Transfer Family.
Experience designing data migration and replication pipelines using AWS DMS.
Strong SQL skills and experience analyzing data using complex queries.
Knowledge of security encryption IAM policies and compliance considerations in AWS environments.
Experience working in financial services or regulated environments preferred.
Strong troubleshooting problem-solving and data analysis capabilities.