Sr. Software Engineer (data Engineering-aws) (multiple Openings) In Charlotte, Nc

U.S. Bank

Charlotte, NC, US
$156,166 - $164,100; not specified; healthcare, 40...
Design and build data engineering solutions on aws
Migrate data to snowflake, redshift, databricks
Build scalable data pipelines using kafka, spark, aws glue
Design and build data engineering solutions on Amazon Web Services (AWS) to migrate and integrate data from on-premises systems into Snowflake, Redshift and Databricks

Job Summary

  • Design and build data engineering solutions on Amazon Web Services (AWS) to migrate and integrate data from on-premises systems into Snowflake, Redshift and Databricks.
  • Automate and orchestrate migration workflows using CI/CD pipelines, containerization (Docker, Kubernetes, OpenShift), and scheduling/orchestration tools such as Airflow, AWS Glue and AWS Step Functions.
  • Our benefits include Healthcare (medical, dental, vision), Basic term and optional term life insurance, Short-term and long-term disability, Pregnancy disability and parental leave, 401(k) and employer-funded retirement plan, Paid vacation, Up to 11 paid holiday opportunities, Adoption assistance, Sick and Safe Leave.

Matching Summary

Design and build data engineering solutions on Amazon Web Services (AWS) to migrate and integrate data from on-premises systems into Snowflake, Redshift and Databricks.

Salary

$156,166 - $164,100; Not specified; Healthcare, 401(k), Paid vacation, Paid holidays

Skills & Requirements

Must-have

  • Design and build data engineering solutions on AWS
  • Migrate data to Snowflake, Redshift, Databricks
  • Build scalable data pipelines using Kafka, Spark, AWS Glue
  • Automate migration workflows using CI/CD, Docker, Kubernetes
  • Ensure data security and compliance with financial standards
  • Mentor junior engineers and lead knowledge sharing

Nice-to-have

  • Exceptional technical leadership
  • Subject matter expert in cloud data integration
  • Contribute to organizational competitiveness

Key Requirements

  • 5 years progressive software development experience
  • 24 months AWS core services experience
  • 24 months building data models and pipelines on AWS compute
  • 24 months building ETL/ELT processes
  • 24 months automating migration workflows
  • 24 months Data Warehousing and Big Data technologies
  • 24 months leading cloud migration projects with Snowflake
  • 24 months designing enterprise-grade DATA applications

Work Rights

Not specified

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