{"id":3802526,"url":"https://alion.io/job/blackrock-data-engineer-aladdin-data-associate-2","title":"Data Engineer, Aladdin Data, Associate","company":{"id":5262,"name":"BlackRock","domain":"blackrock.com","url":"https://alion.io/company/blackrock","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":99,"open_postings":179,"ghost_share":0,"stale_share":0.017,"repost_share":0.067,"time_to_fill_p50_days":31,"computed_at":"2026-11-07T05:47:08Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Mumbai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Git","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-05T12:07:21Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-07T06:15:27Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"About this role\nData Engineer, Aladdin Data, Associate\nLocation: Mumbai, India \nJob level: Associate\nYour team\nThe Alternative Data Pipeline Engineering team supports Aladdin, BlackRock's investment management and technology platform, by building and operating reliable data products that acquire, transform, model, and distribute diverse datasets for investment, analytics, and platform use cases. The team partners across engineering, product, data specialists, and data consumers, with a focus on making high-quality data reliably and efficiently available.\nYour role and impact\nAs a Data Engineer, you will build and support enterprise data pipelines and data platforms that enable scalable processing of structured and semi-structured data. You will apply strong Python and Structured Query Language (SQL) skills and work with Snowflake and modern data engineering technologies to deliver solutions from requirements and technical design through implementation, deployment, and production support. Your work will improve the quality, observability, reliability, and maintainability of production data products while simplifying how new datasets are onboarded and processed.\nYour responsibilities\nIn every role at BlackRock, you'll be expected to apply sound judgement and critical thinking to solve complex problems, adapt as the business evolves, and combine the curiosity to explore new approaches and technologies with the rigor to challenge the results. The scope of this role also includes the following responsibilities:\nDesign, develop, test, deploy, and maintain production-grade data pipelines and reusable ingestion and transformation components for structured and semi-structured data. \nDevelop scalable data models and extract, load, and transform (ELT) transformations, using advanced SQL to support complex workloads while optimizing performance, scalability, and cost. \nDevelop and operate reliable directed acyclic graph-based workflow orchestration frameworks for data and batch processing while implementing automated data-quality checks, reconciliation, lineage, alerting, monitoring, and failure handling. \nBuild modular, maintainable, well-tested solutions and improve engineering productivity through reusable frameworks, automation, and responsibly governed artificial intelligence (AI)-assisted development. \nPartner with product teams, data specialists, and consumers to translate requirements into dependable solutions, taking end-to-end ownership and communicating progress, risks, and issues. \nDiagnose production issues and improve reliability, observability, and resilience while contributing to modernization and migration of existing data pipelines to BlackRock's enterprise data platform.\nYour experience \nBachelor's degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience, with at least 4 years of hands-on experience building and supporting enterprise data pipelines, platforms, or data-intensive applications. \nStrong Python development skills with experience in modular design, error handling, logging, automated testing, Git-based development, peer review, and continuous integration and continuous delivery practices. \nAdvanced SQL and strong hands-on Snowflake experience, including complex transformations, schema design, semi-structured data, ELT patterns, query troubleshooting, and performance and cost optimization. \nPractical experience developing and troubleshooting data workflows, combined with a strong understanding of data warehousing and modeling concepts, including dimensional and historical data design. \nStrong analytical, problem-solving, communication, and collaboration skills, with the ability to diagnose complex data and production issues and take ownership in an agile, globally distributed environment. \nExperience with large-scale distributed data analytics engines and exposure to modern transformation, application programming interface (API), data-format, distributed event streaming and messaging, and Azure or Amazon Web Services (AWS) cloud technologies. \nExperience with reusable data-engineering capabilities, governance and lineage, cloud or legacy modernization, financial or alternative data, and secure AI-assisted software development is beneficial. \nOur benefits\nTo 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.\nOur hybrid work model\nBlackRock’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.\n\nGuidance on AI use for candidates\nAt BlackRock, AI has long been part of how we work - enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we’ve provided guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.\nAbout BlackRock\nAt 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.\nThis 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.\nTo learn more about BlackRock, please visit Careers.BlackRock.com. We also encourage you to get to know us on LinkedIn, Instagram, YouTube, X, and TikTok.\nBlackRock is proud to be an Equal Opportunity Employer. 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