Analyst/Associate – Data Engineering (Full Stack Developer), Active Equities

  • Not Specified
  • Gurgaon, Haryana, Inde Gurgaon Haryana IN
  • CDI, Plein-temps
  • BlackRock
  • 16 sept. 18 2018-09-16

BlackRock helps investors build better financial futures. As a fiduciary to our clients, we provide the investment and technology solutions they need when planning for their most important goals. As of March 31, 2018, the firm managed approximately $6.317 trillion in assets on behalf of

BlackRock helps investors build better financial futures. As a fiduciary to our clients, we provide the investment and technology solutions they need when planning for their most important goals. As of March 31, 2018, the firm managed approximately $6.317 trillion in assets on behalf of investors worldwide. For additional information on BlackRock, please visit www.blackrock.com | Twitter: @blackrock | Blog: www.blackrockblog.com | LinkedIn: www.linkedin.com/company/blackrock.

Job Description:

Responsibilities:

The Data Engineering/ Full Stack Specialist within AE is responsible for contributing to the global execution of model insights and data engineering components of a complex, high profile AE projects.  This individual will help design and implement the various ongoing operational processes related to data, visualization, and analytics across all aspects of the project lifecycle, from pre-proposal scoping to final quality control.  S/he will also help promote and maintain a culture of utilizing best-in-class methodologies and tools in executing assignments across our key practice areas.

Key responsibilities of the role include:

  • Developing new data products and visualization dashboard. The development of new data products and visualization is conducted in close partnership with the business sponsors. The data product lifecycle starts with initiation of the research project and the formulation detailed project proposal. The findings of the research is then converted into a dashboard, tested and eventually run in production. The Data Engineer will use a combination of traditional technologies and programming languages such as Python, Java Script, and Visualization tools. It is increasingly leveraging Big Data technologies such as Cassandra, Hadoop, Spark, or Hive.
  • Supporting existing data products from a content and process standpoint. Participating in production support activities, insuring that data processes are stable and deliver the expected content to downstream processes and applications. Troubleshooting issues and insuring timely and transparent resolution is paramount.
  • Developing and supporting the data acquisition platform and processes, with a strong focus on complementing the traditional battle-tested data warehousing solutions with new best-of-breed technologies
  • Playing an active role in improving the end-to-end data acquisition to portfolio management business process by understanding its intricacies, identifying areas that could benefit from improvements, proposing enhancements, and working with colleagues within and outside of the teams to implement them.

Qualifications:

  • Experience in data management and data integration projects
  • Some experience working with financial data
  • Good analytical, mathematical and problem solving skills
  • Strong self-motivation for knowledge in finance, business or accounting are required.
  • Excellent interpersonal and communication skills with the ability to work efficiently in a fast-paced environment on multiple concurrent projects.

Technical skills required include:

  • Excellent knowledge of Python
  • Exposure JavaScript, Java, Web API development
  • Exposure to Application Servers (Apache, Tomcat) would be added advantage.
  • Exposure to NoSQL / Distributed data store technologies like HDFS, Apache Cassandra.
  • Working with structured/un-structured data, file parsing, web scraping
  • Some database experience (SQL, DDL/DML, performance tuning, data modeling).
  • Good understanding of UNIX/LINUX environments.

Other personal characteristics

  • Unquestioned integrity and the highest ethical standards
  • A keen interest in investment research and a built-in drive to achieve superior performance

Hashtags

#BigData #Hadoop #Java  #Python #R #SQL #NoSQL #CloudComputing #MachineLearning #NeuralNetworks #AnomalyDetection #StatisticalInference #TimeSeries #Analytics #LinearAlgebra #MapReduce #ComputerScience #CS #Statistics #Engineering #ComputationalScience #MATLAB #JavaScript #WebAPI

BlackRock is proud to be an Equal Opportunity and Affirmative Action Employer.  We evaluate qualified applicants without regard to race, color, national origin, religion, sex, disability, veteran status, and other statuses protected by law.

BlackRock is proud to be an Equal Opportunity and Affirmative Action Employer.  We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.

BlackRock will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the law, including any applicable fair chance law.