Senior AWS Data Engineer - Cloud Solutions Expert
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Summary
A senior data engineer (12+ years) designs and maintains enterprise-scale data platforms on AWS for a banking environment: building scalable data pipelines, optimizing ETL/ELT workflows, and developing serverless solutions. Core technologies include AWS Glue, Lambda, S3, Redshift, Python, and SQL.
Elevate your career as a Senior AWS Data Engineer specializing in cloud solutions. Bring 12+ years of experience in data engineering and ETL development to a fast-paced banking environment.
We are seeking a highly skilled Senior AWS Data Engineer with extensive hands-on experience in designing and supporting enterprise-scale data platforms in AWS. The ideal candidate possesses deep expertise in data engineering, real-time data streaming, and optimizing data processing. Your role will focus on understanding business needs to build scalable and reliable data pipelines while leading production-grade cloud solutions.
Key Responsibilities: • Design and maintain scalable data pipelines using AWS services • Optimize ETL/ELT workflows with AWS Glue and Python • Develop serverless processing solutions via AWS Lambda • Manage data lakes using Amazon S3 • Create and improve data warehouse solutions utilizing Amazon Redshift
Requirements: • 12+ years of data engineering experience • Proficient with AWS Glue, Redshift, and S3 • Hands-on experience with SQL and Python • Strong knowledge of ETL/ELT processes • Familiarity with AWS CDK or Terraform
Bring your solid analytical skills and technical expertise to deliver high-performance data solutions in this senior role.
We are seeking a highly skilled Senior AWS Data Engineer with extensive hands-on experience in designing and supporting enterprise-scale data platforms in AWS. The ideal candidate possesses deep expertise in data engineering, real-time data streaming, and optimizing data processing. Your role will focus on understanding business needs to build scalable and reliable data pipelines while leading production-grade cloud solutions.
Key Responsibilities: • Design and maintain scalable data pipelines using AWS services • Optimize ETL/ELT workflows with AWS Glue and Python • Develop serverless processing solutions via AWS Lambda • Manage data lakes using Amazon S3 • Create and improve data warehouse solutions utilizing Amazon Redshift
Requirements: • 12+ years of data engineering experience • Proficient with AWS Glue, Redshift, and S3 • Hands-on experience with SQL and Python • Strong knowledge of ETL/ELT processes • Familiarity with AWS CDK or Terraform
Bring your solid analytical skills and technical expertise to deliver high-performance data solutions in this senior role.