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Data Engineer - QuantumBlack

6.00 to 7.00 Years   Gurugram   30 Jan, 2021
McKinsey & Company
Job LocationGurugram
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaDBA / Datawarehousing,General / Other Software
EmploymentTypeFull-time

Job Description

What Youll DoAs a Data Engineer in QuantumBlack you will.

  • Partner with our clients, from data owners and users to C-level executives, to understand their needs and build impactful analytics solutions
  • Design and build data pipelines to support data science projects following software engineering best practices
  • Use state of the art technologies to acquire, ingest and transform big datasets
  • Map data fields to hypothesis, curate, wrangle and prepare data to be used in advanced analytics models
  • Create and manage data environments in the cloud or on premise
  • Ensure information security standards are maintained at all time
  • Contribute to cross-functional problem-solving sessions with your team and deliver presentations to colleagues and clients
  • Have the opportunity to contribute to Pharma R&D and internal asset development projects
  • Collaborate with business stakeholders, data scientists and internal teams to build and implement extraordinary Pharma focused data products (re-usable assets) and solutions and deliver them right to the client
  • Develop deep Pharma domain understanding in at least in one of the following areas - Manufacturing, Procurement, Supply Chain, Clinical-Trial and Commercial
Our tech stackWhile we advocate for using the right tech for the right task, we often leverage the following technologies: Python, PySpark, SQL, Airflow, Databricks, our own OSS called Kedro, container technologies such as Docker and Kubernetes, cloud solutions such as AWS, GCP or Azure, and more!What youll benefit from
  • Real-World Impact No project is ever the same. We work with top-tier clients across multiple sectors, providing unique learning and development opportunities internationally.
  • Fusing Tech & Leadership We work with the latest technologies and methodologies and offer first class learning programmes at all levels.
  • Multidisciplinary Teamwork- Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance.
  • Innovative Work Culture Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions.
  • Striving for Diversity With colleagues from over 40 nationalities, we recognise the benefits of working with people from all walks of life.
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Keyskills :
sqljavadata warehousinginformaticapythoninformation security standardssupply chaindata scienceadvanced analyticsinformation securitysoftware engineeringawsossgcpcloudazure

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