Engineer II, Full Stack Reporting

• *Where Ambition Meets Innovation**

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.

We’re seeking a **Engineer\-II** with strong experience in **data engineering, UI development, API engineering, and AWS cloud technologies**.

This role focuses on enabling high‑quality analytics consumption by building curated datasets, high‑performing APIs, and intuitive UI integrations.

You will work with data producers, analytics teams, and engineering partners to validate data readiness, design consumption APIs, enhance UI\-driven data experiences, and ensure datasets are accessible, governed, and analytics‑ready.

This role blends **data engineering \+ UI engineering \+ modern API development** in consumer\-facing capacity.

**Key Responsibilities**

• *UI Development (Angular)**

• Build or enhance **Angular UI components** for dataset discovery, schema preview, quality insights, and interactive data browsing
• Integrate APIs into Angular services, modules, and components using RxJS and state management
• Improve UX for dataset search, navigation, and metadata visibility

• *API Development (REST/GraphQL)**

• Build high\-performing APIs for data access, metadata retrieval, dataset previews, and export workflows
• Implement:

+ Pagination, filtering, and advanced query parameters

+ Entitlement‑aware access controls

+ Caching, throttling, and performance enhancements

+ Bulk vs. micro consumption flows

• Create SDK\-style examples, reusable integration templates, and client libraries
• *Data Validation, Quality \& Observability**

• Perform deep data validation for new or enhanced datasets
• Integrate schema checks, monitoring workflows, and drift detection
• Investigate anomalies and consumer\-reported issues; implement long\-term improvements

• *What are we looking for?**

We’re looking for strong collaborators who deliver exceptional client experiences and thrive in fast\-paced, team\-oriented environments. Our ideal candidates pursue greatness, act with integrity, and are driven to help our clients succeed. We value those who embrace creativity, continuous improvement, and contribute to a culture where we win together and create and share joy in our work.

• *Required Qualifications**

• 6\+ years in **data engineering in Angular/** **full‑stack engineering** roles
• Practical **Angular** experience (services, components, RxJS, modules)
• AWS experience with **Glue, S3, Lambda, API Gateway, IAM**
• Ability to interpret/optimize pipelines in Spark, Glue, Python, and dbt.
• Understanding of:

+ Medallion architecture

+ Data modeling (star schema, semantic layers, wide tables)

+ Data lineage, metadata, and data quality practices

• Strong SQL skills (Snowflake, PostgreSQL, or similar)
• Familiarity with Iceberg table format
• Proficiency with Git/GitHub workflows

• *Preferred Qualifications**

• **Database Knowledge (Plus):**

+ **Snowflake Cloud Data Warehouse**

+ **Apache Iceberg**

+ **PostgreSQL**

• Hands\-on experience designing or consuming **REST/GraphQL APIs** is a plus
• Experience with data catalogs (Glue Catalog, DataHub, Alation, Collibra)
• Understanding of OAuth/OIDC, token\-based authentication, API gateway patterns
• Experience with consumer analytics tools (Power BI, Tableau, ThoughtSpot)
• Understanding of governance, classification, and metadata frameworks
• Proven impact improving data discoverability, access patterns, or consumer experience

LPL Global Business Services, LLP \- PRIVACY POLICY