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BlackRock

Associate - Data Operations

Reposted Yesterday
Be an Early Applicant
In-Office
Mumbai, Maharashtra
Entry level
In-Office
Mumbai, Maharashtra
Entry level

About this role

About BlackRock

When BlackRock started in 1988, its founders envisioned a company that combined the best of financial services with innovative technology. They imagined a business that would provide financial services to clients as well as technology services to other financial firms. The result of their vision is Aladdin, our industry-leading, end-to-end investment management platform. With assets valued over USD $10 trillion managed on Aladdin by BlackRock alone, and over 150 other investment managers and asset owners using Aladdin, our technology empowers millions of investors to save for retirement, pay for college, buy a home and improve their financial wellbeing.
 

About Data Management

Data Management is responsible for multiple aspects of data management and operations for the firm, including database administration and design, business intelligence and data architecture, data analytics, governance, and quality.
About this role

A DataOps Engineer is responsible for managing alerts getting generated from EDP pipelines and work on resolve using SOP and if needed involve multiple teams. They bridge the gap between data engineers, data scientists, and DevOps by implementing CI/CD, monitoring, and orchestration tools like Airflow or Kubernetes. This role focuses on optimizing data flow, reducing latency, and enforcing governance.

Key Responsibilities
Data Quality & Monitoring: Implement data quality checks, observability, and alerting systems (e.g., Grafana, Prometheus Splunk) to ensure data accuracy and reliability.
Collaboration: Work across teams (data engineer, analysts, DevOps) to streamline data delivery and resolve bottlenecks. 
Technology Stack: Python, SQL, Airflow , Snowflake

Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

About BlackRock

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being.  Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.

For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock

BlackRock is proud to be an Equal Opportunity Employer.  We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.

Top Skills

Airflow
Python
Snowflake
SQL

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