Job description About this role Role Summary We re seeking a dynamic System Engineer to design and deliver intelligent scalable and reliable data systems This hybrid role combines data engineering AI ML integration system reliability and DevOps to accelerate data collection enable intelligent workflows and drive business impact You ll collaborate across engineering data analytics and business teams to build reusable frameworks reduce time-to-value and uphold engineering excellence Key Responsibilities Data AI Workflow Engineering Accelerate data collection at scale from millions of sources using robust scalable pipelines Design build and deploy workflows that combine AI ML models with human-in-the-loop systems Operate as a full-stack data engineer taking projects from problem formulation to production Develop APIs and services to expose data and model outputs for downstream consumption System Engineering Reliability DevOps Build and maintain CI CD pipelines for data and ML services using Azure DevOps or GitHub Actions Implement observability metrics logs traces and reliability features retries circuit breakers graceful degradation Optimize data workflows and infrastructure for performance scalability and fault tolerance Platform Framework Development Elevate development standards through reusable services frameworks templates and documentation Champion best practices in code quality security and automation across the engineering lifecycle Collaborate with engineering teams across the business to improve time-to-value and share internal solutions Collaboration Business Impact Collaborate with engineering teams across the business to improve time-to-value and share internal solutions Present results and recommendations clearly to technical and non-technical audiences using compelling storytelling and visualizations Required Skills and Qualifications 2-4 years of experience in data engineering machine learning or system platform engineering Strong programming skills in Python DotNet or Java proficiency in SQL DBT and data orchestration tools e g Airflow Experience with containerization Docker and Kubernetes on Azure and or AWS Proficiency in CI CD Git and cloud-native development Familiarity with observability tools Azure Monitor Prometheus Grafana and data validation frameworks e g Great Expectations Familiarity with data science libraries Pandas NumPy scikit-learn and deploying ML models to production Robust understanding of distributed systems microservices and API design Bachelor s or Master s degree in computer science Data Science Engineering or a related field 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 Job Requisition R255609

📌 System Engineer (data, Ai Workflows & Platform Reliability), Aladdin Engineering, Analyst (Haryana)
🏢 BlackRock
📍 Haryana