Associate Engineer I - Data Operations

LPL Financials; Hyderabad; Hybrid; INR 500,000 - 900,000; Full time

Job summary

LPL Financials in Hyderabad, India is seeking an Associate Engineer I Data Operations to support enterprise data pipelines, ETL processes, and data quality controls. You will monitor batch and real-time workflows, troubleshoot issues, and collaborate with Data Engineering and business teams to improve reliability and performance.

The role requires hands-on experience with AWS Airflow, scheduling tools AutoSys or Control-M, and ServiceNow modules.

Qualifications

• Bachelor’s degree or equivalent in data operations, ETL, Batch, etc.
• Experience with AutoSys, BMC Control M, or similar scheduling tools.
• AWS including Airflow supporting cloud-based ETL and real-time data pipelines.
• Excellent communication across IT and business teams.
• Experience with ServiceNow modules including Incident, Service Request, Change, Problem, Knowledge Management, and reports.
• 3-5 years of working experience in the required fields.

Responsibilities

• Manage data validation across sources and data integration/distribution.
• Build and track data accuracy KPIs for insights for product/data Eng Teams.
• Establish batch/ETL job lineage and enforce policies.
• Collaborate with Data Eng to ensure operational controls.
• Oversee integration of inbound/outbound data sources.
• Identify improvements to handle growing data complexity.
• Provide data/report training and issue resolution support.
• Triage data operations requests from IT service desks and demand intake channels.
• Develop frameworks for deploying Data Ops solutions.
• Contribute to vision and roadmap for Data Ops practice.

Skills

Data operations

ETL support

Batch processing

AWS Airflow

Problem solving

Communication

Collaboration

Education

Bachelor’s degree or equivalent

Tools

AutoSys

BMC Control-M

Airflow

ServiceNow

Job description

Job Overview:

The Associate Engineer I Data Operations is responsible for supporting and maintaining enterprise data pipelines, ETL processes, and data operations to ensure data accuracy, reliability, and availability. This role monitors and troubleshoots batch and real-time data workflows, manages data quality controls, supports AWS/Airflow-based environments, and partners with Data Engineering and business teams to resolve issues and improve operational efficiency. The ideal candidate has 35 years of experience in data operations, ETL support, cloud-based data platforms, scheduling tools (AutoSys/Control-M), and ServiceNow, with strong problem-solving and communication skills.

Responsibilities:

• Responsible for data management (validating incoming data sources, data integration/compilation, distribution).
• Ensuring best-in-class data quality/accuracy; building/tracking data accuracy KPIs for insights for product/data Eng Teams.
• Establishing batch/ETL job lineage processes/ensure adherence to policies.
• Ensuring operational controls are in place/working with the Data Eng.
• Overseeing the integration of all inbound/outbound data sources.
• Identifying actionable improvements and optimizations to support growing complexity and demand.
• Hands-on approach to user community data/report training and problem/resolution management.
• Monitor, triage, and assign data operations work captured through IT service desk, IT Demand intake, IT Business Partner, and other data and analytics demand intake channels.
• Creating frameworks and methodologies for deploying Data Ops solutions.
• Contributing to the vision and strategy for the Data Ops practice, including setting development roadmaps, participating in new business, and identifying growth or efficiency opportunities.
• Promoting a culture of process documentation, strong data governance and operational efficiencies.
• Integrate reports, key performance indicators (KPIs), metrics packages and related information for technology team leadership.
• Identify alternative ETL solutions when it becomes evident that existing hardware/software solutions would not handle a large amount of data.

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.

Requirements:

• Bachelor’s degree or equivalent experience in data operations, ETL, Batch, etc. preferably in the financial services industry providing high-performing, high-availability solutions.
• Experience with commercial scheduling tools including AutoSys, BMC Control M, or similar tools.
• Expertise in AWS including Airflow supporting cloud-based ETL and Real-Time data pipelines and frameworks.
• Excellent communication skills and the ability to effectively interact across the IT and business organization, working effectively to achieve results.
• Experience with ServiceNow modules including Incident, Service Request, Change, Problem, Knowledge Management, and reports.
• 3-5 years of working experience in all the required fields.