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Hyderabad, Telangana, India
Onsite
Our Company
Oaktree is a leader among global investment managers specializing in alternative investments, with $203 billion in assets under management as of March 31, 2025. The firm emphasizes an opportunistic, value-oriented and risk-controlled approach to investments in credit, private equity, real assets and listed equities. The firm has over 1200 employees and offices in 25 cities worldwide.
We are committed to cultivating an environment that is collaborative, curious, inclusive and honors diversity of thought. Providing training and career development opportunities and emphasizing strong support for our local communities through philanthropic initiatives are essential to our culture.
For additional information please visit our website at www.oaktreecapital.com.
Responsibilities
We are seeking a Senior Data Engineer with 10+ years of overall IT experience and 5+ years of hands-on data engineering expertise to design, build, and govern enterprise data platforms using Microsoft Azure and Microsoft Fabric.
This role focuses on building trusted, certified, and discoverable data assets by implementing robust data validation, quality assurance, certification frameworks, and data cataloging processes. The ideal candidate combines strong engineering skills with a governance mindset to ensure data reliability, transparency, and enterprise adoption.
• 10+ years of overall IT experience, with strong background in data engineering and analytics platforms.
• 5+ years of relevant data engineering experience in cloud or enterprise environments.
• Hands-on expertise in:
o Microsoft Azure (ADF, ADLS Gen2, Synapse)
o Microsoft Fabric (Lakehouse, Warehouse, Data Pipelines, Notebooks)
o SQL, Python, and PySpark
• Strong experience designing data validation and quality frameworks.
• Demonstrated experience implementing data certification and trusted data asset workflows.
• Hands-on experience with data cataloging and metadata management tools (Microsoft Purview preferred).
• Strong understanding of data governance, lineage, and metadata management.
• Experience working in Agile environments with strong collaboration skills.
Shift timings: 2PM -11 PM
Equal Opportunity Employment Policy
Oaktree is committed to diversity and to equal opportunity employment. Oaktree does not make employment decisions on the basis of race, creed, color, ethnicity, national origin, citizenship, religion, sex, sexual orientation, gender identity, gender expression, age, past or present physical or mental disability, HIV status, medical condition as defined by state law (genetic characteristics or cancer), pregnancy, childbirth and related medical conditions, veteran status, military service, marital status, familial status, genetic information, domestic violence victim status or any other classification protected by applicable federal, state and local laws and ordinances. This policy applies to hiring, placement, internal promotions, training, opportunities for advancement, recruitment advertising, transfers, demotions, layoffs, terminations, recruitment advertising, rates of pay and other forms of compensation and all other terms, conditions and privileges of employment. This policy applies to all Oaktree applicants, employees, clients, and contractors. Staff members wishing to report violations or suspected violations of this policy should contact the head of their department or Human Resources.
For positions based in Los Angeles
For those applying for a position in the city of Los Angeles, the firm will consider for employment qualified applicants with a criminal history in a manner consistent with applicable federal, state and local law.