Engineer - Data And Batch Operations

LPL Financial Global Capability Center; Hyderabad; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

LPL Financial Global Capability Center in Hyderabad is seeking a Data and Batch Operations Engineer to manage, monitor, and optimize batch and ETL data operations, enabling high-availability data platforms for financial services and analytics.

You will partner with Data Engineering, Product, and IT teams to ensure data quality, governance, and scalable pipelines, implementing batch lineage, KPI dashboards, and incident response through ServiceNow, AutoSys, BMC Control-M, and AWS Airflow.

Qualifications

• Bachelor's degree or equivalent in Data Operations, ETL, Batch Processing, or related fields.
• Experience with workload scheduling tools (AutoSys, BMC Control-M) and cloud ETL pipelines.
• Strong expertise in AWS and Apache Airflow for data pipelines.
• Excellent communication skills and ability to collaborate across IT and business teams.

Responsibilities

• Manage end-to-end data operations, including validation of incoming data sources and data distribution.
• Define, build, and track data accuracy KPIs to improve data quality.
• Establish and maintain batch and ETL job lineage in governance frameworks.
• Partner with Data Engineering to ensure operational controls are designed and functioning.
• Oversee integration and execution of inbound/outbound data processes.
• Identify and implement improvements to handle increasing data volume and complexity.
• Provide hands-on training for users on data usage and reporting.
• Monitor and triage Data Operations work intake from ServiceNow and IT streams.
• Design scalable frameworks for deploying Data Operations solutions.
• Contribute to roadmap and modernization of Data Operations practices.

Skills

AWS

Apache Airflow

AutoSys

BMC Control-M

ServiceNow

ETL

Batch Processing

Data Quality

Education

Bachelor's degree in Data Operations

Tools

ServiceNow

AutoSys

BMC Control-M

Job description

Job Description:

Where Ambition Meets Innovation

At LPL’s Global Capability Center, youll find a collaborative culture where your voice matters, integrity guides every decision, and technology fuels progress. Your skills, talents, and ideas will redefine whats possible. LPLs 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 environment.

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 insights to Product and Data Engineering teams.
• Establish and maintain batch and ETL job lineage, ensuring compliance with governance policies and operational standards.
• Partner with Data Engineering to ensure operational controls are properly designed, implemented, and functioning effectively.
• Oversee the integration and execution of all inbound and outbound data processes.
• Identify and implement actionable improvements and optimizations to support increasing data volume, complexity, and business demand.
• Provide hands‑on support for user community training related to data usage, reporting, issue resolution, and production support.
• Monitor, triage, prioritize, and assign Data Operations work intake from ServiceNow, IT Service Desk, IT Demand processes, IT Business Partners, and other data and analytics intake channels.
• Design and implement frameworks and methodologies for deploying and scaling Data Operations solutions.
• Contribute to the vision, strategy, and roadmap for the Data Operations practice, including identifying opportunities for growth, efficiency, and modernization.
• Promote a strong culture of process documentation, data governance, operational discipline, and continuous improvement.
• Develop and integrate operational reports, KPI dashboards, and metrics packages to support technology leadership and decision‑making.
• Evaluate existing ETL platforms and identify alternative solutions when current hardware or software cannot efficiently support large‑scale data processing requirements.