Responsibilities

Core Data Engineering & Cloud Architecture

- Design and implement business functionalities, APIs using C#, endtoend 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)

- Contribute to application components and microservices supporting compensation workflows
- Assist with API design or UI enhancements as needed (Angular, JavaScript optional)
- Update terraform scripts for AWS setting capabilities as needed.

Engineering Excellence

- Partner with product, architecture, QA, and DevOps teams in an Agile workplace
- Apply CI/CD practices for automation and deployment of cloud-based data components
- 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

Requirements Data Engineering & Cloud (Primary Requirements)

- 8+ years of experience designing and implementing complex systems
- 5+ years hands-on data engineering experience, ideally in transformationheavy or rulesdriven 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 modern cloud data warehouses
- Experience with Jira, TeamCity, Octopus
- Experience developing systems related to compensation, payroll, financial calculations, or rulesdriven engines

Soft Skills & Competencies

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

📌 Senior Software engineer Test (Hyderabad)
🏢 LPL Financials
📍 Hyderabad