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Analyst - Data Engineering (Pharma)

Chryselys

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1-3 Years
a month ago
63 Viewed
3 Applied

Job Description

Roles & Responsibilities:

  • We are looking for a Data Engineering who will be majorly responsible for building data pipelines using AWS by integrating several data sets to enable the team to perform univariate and multivariate analysis.
  • You are expected to build and manage Data warehouse solutions, data models, creating ETL processes, integrating various data sets, implementing data quality checks.
  • Responsible for performing EDA (exploratory data analysis), troubleshoot data related issues and assist in the resolution of data issues.

Required Technical Skills

  • 1-3 years of relevant hands-on experience in AWS services like S3, Glue, Lambda, CloudWatch, Athena.
  • Hands-on experience in Data Warehouse, ETL, cloud experience preferably in AWS/ Azure.
  • Extensive experience in programming language like Oracle SQL and knowledge of Python/ Pyspark.
  • Working knowledge in Data Management and Data Governance.
  • Deployment expertise on cloud platforms like AWS/ Azure
  • Knowledge of SFDC, Waterfall/ Agile methodology
  • Working experience in Pharma domain is preferrable.

Qualifications

  • Bachelor's or master's degree (Engineering, MCA, Applied Mathematics, Management Science, Data Science, Statistics).
  • Experience in Pharma syndicated data such as IQVIA, Symphony, Claims, Payer, CRM etc.
  • High motivation, good work ethic, maturity, self-organized and personal initiative.
  • Ability to work collaboratively with team.
  • Excellent written and verbal communication skills.
  • Strong analytical and problem-solving skills.

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