BlackRock
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Gurugram · Hybrid · 7-10 Yrs · Sep 7
Investment & Asset Management · 10000+ Employees · New York, US
BlackRock’s purpose is to help more and more people experience financial well-being. As a fiduciary to investors and a leading provider of financial technology, our clients turn to us for the solutions they need when planning for life's most important goals.
Hiring: Engineering
What employees say
+ Free Food Free Cab Good name on resume
− Odd timings Micro management Lack of democratic process when it comes to giving full time to interns Manager can be unreasonable and unethical at times
More reviews on the company profile.
Glassdoor median (Engineering): 2.0 LPA
Interview experience · Software Engineer(Internship)
There were 2 rounds. In the first round they asked coding question which should be written in Java or python only. The coding question they asked was count the vowels in the string
Very_easy difficulty · Bengaluru · 349 reports
More interview insightsJob description
Overview
The BlackRock Data Office (BDO) is responsible for building and advancing the firm's enterprise data capabilities by delivering trusted, scalable, and governed data products that power investment, business, operational, and technology outcomes across BlackRock.
Responsibilities
- Design, develop, and maintain scalable, reliable, and high-performance data pipelines supporting enterprise data products.
- Build and optimize batch and real-time data ingestion, transformation, and publishing processes across diverse data sources.
- Develop reusable data engineering frameworks, components, and automation to improve platform efficiency and developer productivity.
- Ensure data products meet enterprise standards for quality, security, governance, lineage, and observability.
- Keep data separated and segregated according to relevant data policies.
- Identify opportunities to improve performance, scalability, resiliency, and cost optimization across the data platform.
- Troubleshoot complex production issues, perform root cause analysis, and implement sustainable long-term solutions.
- Contribute to engineering standards, code reviews, testing practices, CI/CD automation, and technical documentation.
- Automate manual ingest processes and optimize data delivery subject to service level agreements; work with infrastructure on re-design for greater scalability.
- Stay current on emerging technologies and recommend innovative approaches that improve the firm's data ecosystem.
- Associate: Deliver high-quality engineering solutions while continuing to deepen technical expertise across modern data technologies.
- Vice President: Provide technical leadership for complex initiatives, mentor junior engineers, influence architecture decisions, and drive engineering best practices across multiple teams.
Qualifications
- 7+ years of experience designing, building, and delivering enterprise-scale data engineering solutions, including demonstrated technical leadership responsibilities.
- 4+ years of strong Java, Python or Scala programming skills (Core Python and PySpark) including hands-on experience creating and supporting UDFs and modules like pytest.
- 4+ years of experience with building and optimizing ‘big data’ pipelines, architectures, and data sets. Familiarity with data pipeline and workflow management tools (e.g., Airflow, DBT, Kafka).
- 4+ years of hands-on experience on developing on Spark in a production environment. Expertise on parallel execution, deciding resources and different modes of executing jobs is required.
- 4+ years of experience using Hive (on Spark), Yarn (logs, DAG flow diagrams), Sqoop. Proficiency bucketing, partitioning, tuning and handling different file formats (ORC, PARQUET & AVRO).
- 4+ years of experience using Transact SQL (e.g., MS SQ Server, MySQL), No-SQL and GraphQL.
- Strong experience implementing solutions on Snowflake
- Strong understanding and use of Swagger/OpenAPI for designing, documenting, and testing RESTful APIs.
- Hands-on experience with Databricks, including notebooks, workflows, and ML integrations.
- Exposure to machine learning, artificial intelligence, or Generative AI technologies and the engineering patterns that support AI-ready data platforms is a plus.
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Job application FAQ
Last updated 17 September 2026
- How do I apply for Vice President - Data Engineering, Aladdin Data at BlackRock?
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- This listing is marked hybrid with location Gurugram, Haryana. Confirm details on the job description before applying.
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- Key skills for this role include Hybrid. Upload a resume to see which requirements you already meet and which are gaps.