At LPL’s Global Capability Center, you'll find a collaborative culture where your voice matters, integrity guides every decision, and technology fuels progress. Your skills, talents, and ideas will redefine what's possible. LPL's success reflects its exceptional employees, who together pursue one noble purpose: empowering financial advisors to deliver personalized advice for all who need it. We’re proud to be expanding and reaching new heights in Hyderabad.

Join us as we create something extraordinary together.

Job Overview

You will work closely with architects, product teams, compensation SMEs, and engineering partners to deliver scalable, resilient, and future‑ready systems that modernize the compensation platform end‑to‑end.

Responsibilities

Core - Data Engineering & Cloud Architecture

- Design and implement business functionalities, APIs using C#, end‑to‑end data pipelines to support capabilities across Practice Management like compensation calculations, ingestion, validation, House holding, Fee management, Advisor Life cycle management and downstream processing
- Build and maintain ETL/ELT workflows using Python, AWS Glue, Lambda, and Step Functions
- Develop event-driven workflows leveraging AWS EventBridge , SQS, SNS, and other serverless components
- Implement data quality, reconciliation, auditing, and monitoring layers to ensure high data integrity for compensation processes
- Work with relational databases (RDS/Postgres/SQL Server) for modeling, transformations, and performance tuning
- Integrate cloud data services with compensation rules engines, distribution systems, and downstream consumers

Application & Platform Engineering (Optional / Nice-to-Have)

- Assist with API design or UI enhancements as needed (Angular, JavaScript— optional)
- Update terraform scripts for AWS environment capabilities as needed.

Engineering Excellence

- Partner with product, architecture, QA, and DevOps teams in an Agile environment




- Troubleshoot data and workflow issues quickly and effectively
- Analyze existing processes and propose improvements to increase transparency, scalability, and automation in compensation processing
- Communicate clearly with business stakeholders, compensation SMEs, and technology partners

What We’re Looking For

Requirements : Data Engineering & Cloud (Primary Requirements)

- 8+ years of experience designing and implementing complex systems

- 5+ years hands-on data engineering experience, ideally in transformation‑heavy or rules‑driven domains

- Strong Python development skills for ETL/ELT and pipeline orchestration

- Hands-on experience with AWS cloud services:

- AWS Glue (ETL jobs, crawlers, transformations)

- AWS Lambda :

- EventBridge (event-driven patterns)

- Amazon RDS :

- S3 and data lake patterns

- Strong SQL expertise (stored procedures, indexing, optimization)

- DevOps experience with GitHub, CI/CD, build & deploy pipelines

- Strong understanding of enterprise integration patterns, SOA concepts, and system design principles

Optional / Nice-to-Have (Not Hard Requirements)

- Experience with.NET, C#, JavaScript, Angular, or Web API development
- Experience with Snowflake or other up-to-date cloud data warehouses
- Experience with Jira, TeamCity, Octopus
- Experience developing systems related to compensation, payroll, financial calculations, or rules‑driven engines

Soft Skills & Competencies

- Excellent communication, stakeholder management, and cross-team collaboration
- Strong analytical, problem‑solving, and debugging skills
- Ability to troubleshoot production issues under tight timelines
- Self-driven, innovative, and quick learner
- Bachelor’s degree in Computer Science or related field

Preferences

- Experience writing unit tests using NUnit, JUnit, Jasmine/Karma, etc.
- Experience with estimation techniques and engineering best practices

LPL Global Business Services, LLP - PRIVACY POLICY

📌 Software Engineer Test (Hyderabad)
🏢 GCC India
📍 Hyderabad