Data Engineer (ETL / Java / Python / Bash / SQL)

BlackRock, Inc   •  

Atlanta, GA

Industry: Finance & Insurance

  •  

Less than 5 years

Posted 58 days ago

This job is no longer available.

Reporting to AE's Data Manager, this role offers tremendous scope for an entrepreneurial Data Engineer to make a significant contribution to alpha generation across our world class investment teams. You will be working with a team that shares your passion for data and its potential to positively transform the investment landscape.

Responsibilities Include:

The Data Engineer will help build and manage data feeds to support analysis of stocks, sectors and themes across regions. You will be part of a team responsible for a large and important part of the data lifecycle, from scoping and ongoing quality control to maintenance of data sources. You will also help promote and maintain a culture of utilizing best-in-class methodologies and tools in executing assignments.

Key responsibilities of the role include:

  • Create and implement data engineering solutions using modern software engineering practices
  • Design and develop data models
  • Codify best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases
  • Administer entitlements and quota policies on AE's cloud platform
  • Perform analysis on data to help identify key signals and anomalies
  • Work and communicate effectively with Investors, IT professionals, and other colleagues
  • Keep up to date with latest ETL and monitoring tools

Qualifications:

  • Ideally, 1-2 years' experience in a data-centric team or organization
  • Good analytical, programming and problem solving skills
  • Demonstrable knowledge of ETL techniques and processes
  • Experience working with APIs and web services
  • High level of comfort managing structured and unstructured data as well as non-textual data such as geolocation and graphical information sets
  • Experience in working on projects within GCP Cloud platform highly advantageous.
  • Experience in administrating cloud via IAM and other tools desirable.
  • Exposure to financial services advantageous, preferably buy side investment / research environment.

Skills required include:

  • Excellent knowledge of languages like Java, Python, Bash, and SQL
  • Comfort with ETL methodologies and tools
  • Ability to identify patterns and anomalies in large datasets
  • Good understanding of UNIX/LINUX environments.
  • Database experience (SQL, DDL/DML, performance tuning, data modelling).
  • Ability to work efficiently in a fast-paced environment on multiple concurrent projects
  • Experience in working with relational and non-relational databases

Other personal characteristics

  • Unquestioned integrity and the highest ethical standards
  • Work independently and to exercise discretion, initiative, and judgment
  • High learning agility
  • Introspective and self-aware
  • Not afraid of failure and demonstrated ability to learn from past experience
  • Perform diverse and complex tasks with accuracy and attention to detail.
  • Communicate effectively both verbally and in writing, particularly with global colleagues.
  • A built-in drive to achieve superior results under tight timelines
  • An 'engineering' mind-set, willing to make rapid, pragmatic decisions to improve performance, accelerate progress or magnify impact