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, solid 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.

📌 Associate Professional Analyst - Data Processing; Batch Opera (Hyderabad)
🏢 LPL Financials
📍 Hyderabad