Senior Data Engineer
$190k - $200kUS.020 Houlihan Lokey Financial Advisors, Inc.
Company Overview Houlihan Lokey, Inc. (NYSE:HLI) is a leading global investment bank recognized for delivering independent strategic and financial advice to corporations, financial sponsors, and governments. With uniquely deep industry expertise, broad international reach, and a partnership approach rooted in trust, the firm provides innovative, integrated solutions across mergers and acquisitions, capital solutions, financial restructuring, and financial and valuation advisory. Our unmatched transaction volumes provide differentiated, data-driven perspectives that help our clients achieve their most critical goals. Job Description Maintain data warehouse infrastructure, ensuring the integrity, performance, and reliability of our data warehouse systems, supporting business intelligence and analytics efforts across the organization. Implement and manage robust ETL processes to support data integration from multiple sources. Develop and maintain scalable data warehouse solutions to accommodate growing data needs. Optimize and tune data warehouse performance for efficient data retrieval and storage. Collaborate with data analysts, business stakeholders, and IT teams to understand data requirements and deliver effective solutions. Ensure data quality and integrity through data cleansing and validation techniques. Monitor and troubleshoot data pipelines and warehouse systems to ensure continuous and reliable operation. Develop and enforce data warehouse architecture standards and best practices. Document data flows, architecture, and processes. Minimum Education & Experience Requirements Bachelor’s degree or foreign equivalent in Computer Engineering, Information Science and Engineering, Computer Science, or a closely related field plus six years of post-baccalaureate experience in the job offered or any Data Engineering job title. Six years of experience must include:
- 1) Building and implementing ETL pipelines to populate data marts and enterprise data warehouses,
- 2) Knowledge of relational database management systems (RDBMS),
- 3) Data warehousing and data analysis and validation with SQL,
- 4) Data modeling techniques and tools,
- 5) Creating custom data visualizations with Tableau or IBM Cognos for advanced analytical experiences,
- 6) Data governance and data quality best practices,
- 7) Liaising with cross‑functional teams to ensure alignment of data‑driven recommendations with overall business goals.
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