Over the last 20 years, Ares’ success has been driven by our people and our culture. Today, our team is guided by our core values – Collaborative, Responsible, Entrepreneurial, Self-Aware, Trustworthy – and our purpose to be a catalyst for shared prosperity and a better future. Through our recruitment, career development and employee-focused programming, we are committed to fostering a welcoming and inclusive work environment where high-performance talent of diverse backgrounds, experiences, and perspectives can build careers within this exciting and growing industry.
Job Description
Primary functions and essential responsibilities
Analyze, design, develop and implement full cycle data warehouse/data lake solutions
Understand and collaborate on the advancement and normalization of data models for data warehouse builds
Design and develop data modeling, data warehouse and reports for the end users and drive the administration of an enterprise wide reporting/business intelligence/analytics
Perform technical development and software code-based delivery of business rules, scripts, data pipelines, data visualization/reporting analytics
Prepare all necessary documentation of technical solutions and other related deliverables
Assist end users in application/system issues
Available 50% during US PST working hours and 50% during Ares India working hours to be able to interface with US resources and autonomously guide the Ares India CFS team in solutioning
Lead and manage Ares India CFS team members and being responsible and taking ownership of the team’s work product and quality
Liaison to the application architecture, business analysts and PMO teams to ensure guidelines and process across all technology initiatives are aligned properly
qualifications
Education:
Bachelor’s degree in Engineering, Computing, Finance, Information Systems or related fields
Experience Required:
7-10 years of relevant technical experience developing/implementing Data Lake/Data Warehouse technologies.
Strong data modeling skills (normalization/denormalization, data warehouse schema types, dimensional)
Experience with Azure and Cloud technologies (Azure Data Factory, Azure Synapse and Azure data bricks).
Expertise and hands on software development required in one or more languages/frameworks such as Python, Scala/Spark
Strong technical skills with all data warehousing and integration technologies (Data Structures and tools like SQL, RDBMS, BI, ETL)
Experience with Power BI or other reporting platforms
Exposure in ERP/financial accounting systems such as Oracle Fusion ERP, Coupa, OneStream, Concur or similar systems is a plus
Knowledge of Agile project management methodology using tools like JIRA, Confluence
General Requirements:
Attention to detail a must
Adaptable, ability to manage multiple priorities, organized, and independent
Strong/concise communication skills, experience providing support to end users
Strong documentation skills of process, steps, methodology
Strong team player
High energy level
Familiarity with alternative manager or investment management industry/Corporate Finance business functions is a plus
Reporting Relationships
Vice President, Enterprise Systems
There is no set deadline to apply for this job opportunity. Applications will be accepted on an ongoing basis until the search is no longer active.
