Associate Professional Analyst - Data Processing; Batch Opera

LPL Financials; Hyderabad; Hybrid; INR 1,500,000 - 2,700,000; Full time

Job summary

LPL Financials is seeking a Data Operations professional in Hyderabad to manage data sources, ETL processes, and data quality across multiple pipelines.

You will work with IT and business teams, leveraging AutoSys/BMC Control-M and AWS Airflow to support cloud-based ETL and real-time data pipelines, including ServiceNow modules for incident and change management.

Qualifications

• Bachelor's degree or equivalent in data operations/ETL; extensive experience in financial services data environments.
• Experience with scheduling tools: AutoSys, BMC Control-M or similar.
• Proficient with AWS, Airflow for ETL and real-time pipelines; strong communication skills.

Responsibilities

• Validate and manage incoming data sources; perform data integration and distribution.
• Monitor data quality and KPIs; partner with product/data Eng teams.
• Establish batch/ETL job lineage; ensure policy adherence.
• Coordinate with Data Eng on operational controls and data governance.
• Oversee integration of inbound/outbound data sources and data quality improvements.
• Develop frameworks for deploying Data Ops solutions and roadmaps.

Skills

Excellent communication

Cross-functional collaboration

Data operations

Education

Bachelor's degree or equivalent in data operations/ETL

Tools

AutoSys

BMC Control-M

Airflow

ServiceNow

Job description

Qualifications

• Bachelors 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.

. 5-7 years of experience in the required areas.

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.