Job description

Join Deloitte as a Lead Software Engineer , where you will design, build, and support Amazon Web Services (AWS) cloud and data-engineering solutions that help modernize client platforms. You will develop scalable application and data-processing capabilities, integrate data across systems, and contribute to reliable production operations. This role offers the opportunity to work across cloud migration, data engineering, and legacy-modernization initiatives in a client-focused delivery environment. Work you'll do As a Lead Software Engineer (Software Engineer III) on the AI & Engineering team, you will be responsible for: • Design and build Python applications and PySpark workloads that process, transform, and validate data in AWS environments. • Develop, test, and maintain extract, transform, and load (ETL) pipelines using AWS Glue and Amazon S3 to support data ingestion, reconciliation, and audit requirements. • Provision and maintain AWS resources through AWS CloudFormation, including configurations for storage, identity and access management, compute, analytics, messaging, and workflow services. • Integrate application programming interfaces (APIs), databases, and source systems into application and data-processing workflows. • Perform code reviews, support deployment and release activities, troubleshoot production issues, and document technical designs and operational procedures. A successful candidate would possess these skills: • Ability to work independently and collaborate as part of a team • Effective written and verbal communication skills • Meticulous attention to detail and quality of work product • Ability to build and sustain professional relationships • Ability to lead projects or workstreams • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment • Strong interpersonal skills and professional demeanor • Ability to meet deadlines • Ability to provide clear guidance to others The Team AI & Engineering brings together engineering capabilities to build, deploy, and operate integrated, sector-focused solutions across software, data, artificial intelligence, networks, and hybrid cloud infrastructure. Our teams help clients modernize technology and data platforms, improve mission-critical operations, and create business value through scalable engineering solutions. We tailor our delivery approach to each client’s priorities, operating environment, and transformation goals. Qualifications Required: • Bachelor’s degree or equivalent experience • 7+ years’ experience developing Python applications and PySpark workloads for distributed data processing. • 5+ years’ experience designing, building, or maintaining ETL data pipelines using AWS Glue, Amazon S3, and Structured Query Language (SQL). • Experience provisioning AWS infrastructure using AWS CloudFormation. • Experience integrating APIs, relational databases, or NoSQL databases with application or data-processing workflows. • Experience working in the Financial Services/Investment Management industry. • Ability to travel up to 10%, on average, based on the work you do and the clients and industries/sectors you serve. • Limited immigration sponsorship may be available. Preferred: • Experience modernizing batch-processing or mainframe workloads to AWS-based applications or data platforms. • Experience using Amazon Athena, AWS Step Functions, Amazon DynamoDB, Amazon Relational Database Service (Amazon RDS), or Amazon Aurora. • Experience using IBM Db2, stored procedures, and SQL to support application or data-processing workflows. • Experience using Git-based source control and continuous integration and continuous delivery (CI/CD) tooling.

Requirements

Must-haves

Work you'll do
As a Lead Software Engineer (Software Engineer III) on the AI & Engineering team, you will be responsible for:
Design and build Python applications and PySpark workloads that process, transform, and validate data in AWS environments.
Develop, test, and maintain extract, transform, and load (ETL) pipelines using AWS Glue and Amazon S3 to support data ingestion, reconciliation, and audit requirements.
Provision and maintain AWS resources through AWS CloudFormation, including configurations for storage, identity and access management, compute, analytics, messaging, and workflow services.
Integrate application programming interfaces (APIs), databases, and source systems into application and data-processing workflows.
Perform code reviews, support deployment and release activities, troubleshoot production issues, and document technical designs and operational procedures.
A successful candidate would possess these skills:
Ability to work independently and collaborate as part of a team
Effective written and verbal communication skills
Meticulous attention to detail and quality of work product
Ability to build and sustain professional relationships
Ability to lead projects or workstreams
Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
Strong interpersonal skills and professional demeanor
Ability to meet deadlines
Ability to provide clear guidance to others
Bachelor’s degree or equivalent experience
7+ years’ experience developing Python applications and PySpark workloads for distributed data processing.
5+ years’ experience designing, building, or maintaining ETL data pipelines using AWS Glue, Amazon S3, and Structured Query Language (SQL).

Nice-to-haves

Experience modernizing batch-processing or mainframe workloads to AWS-based applications or data platforms.
Experience using Amazon Athena, AWS Step Functions, Amazon DynamoDB, Amazon Relational Database Service (Amazon RDS), or Amazon Aurora.
Experience using IBM Db2, stored procedures, and SQL to support application or data-processing workflows.
Experience using Git-based source control and continuous integration and continuous delivery (CI/CD) tooling.

Application prep

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Keywords to mirror

awsaipythonsqlci/cd

Platform: avature
Effort: medium

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Vision