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.
Data and Batch Operations engineer is responsible for managing, monitoring, and optimizing batch and ETL-based data operations to support high-performing, high-availability data platforms. This role partners closely with Data Engineering, Product, and Technology teams to ensure data quality, operational excellence, and scalable data solutions—preferably within a financial services setting.
Qualifications
Bachelor’s degree or equivalent experience in Data Operations, ETL, Batch Processing, or related fields, preferably within financial services.




Experience with commercial workload scheduling tools such as AutoSys, BMC Control‑M, or equivalent.
Strong expertise in AWS, including Apache Airflow, supporting cloud‑based ETL and real‑time data pipelines.
Proven ability to deliver high‑performing, high‑availability data solutions.
Excellent verbal and written communication skills, with the ability to collaborate effectively across IT and business teams.
Hands‑on experience with ServiceNow, including Incident, Service Request, Change, Problem, Knowledge Management, and reporting modules.
7-10 years of working experience is required in these areas.
Responsibilities
Manage end‑to‑end data operations, including validation of incoming data sources, data integration and compilation, and downstream data distribution.
Ensure best‑in‑class data quality and accuracy by defining, building, and tracking data accuracy KPIs to provide insight

📌 Engineer - Data and Batch Operations (Hyderabad)
🏢 GCC India
📍 Hyderabad