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Data Engineer II

eClinical Solutions · Bangalore

New
Mid 🇬🇧 English
SQL T-SQL PL/SQL MS Project MS Excel Oracle SQL Server Teradata DB2 QlikSense QlikView Spotfire Tableau JReview Business Objects Cognos MicroStrategy IBM DataStage Informatica Spark .NET C# Python Java HTML SSRS AWS Azure REST APIs Big Data ETL Data Pipelines Data Modelling Data Analytics BI Data Warehouse Data Lake

Job description

About the role

The Data Engineer II will collaborate with clients and the eCS Biometrics team to enhance the elluminate® platform, delivering end‑to‑end solutions for aggregating, transforming, and reporting clinical trial data. The role involves designing ETL processes, creating custom reports and visualizations, and driving automation and quality improvements.

Key responsibilities

  • Design, develop, test, and deploy efficient code for SDTM, custom reports and visualizations using MS SQL, elluminate® Mapper and Qlik.
  • Configure ETL pipelines to aggregate and standardize data from EDC systems, SAS, and laboratory vendors.
  • Translate business requirements into database objects, dashboards and analytical views in collaboration with analytics developers and clients.
  • Manage multiple timelines and deliverables across single or multiple clients, maintaining clear communication.
  • Provide diagnostic support, troubleshoot issues and fix defects while ensuring compliance with quality standards.

Required profile

  • 3+ years of professional experience, preferably with a Bachelor’s degree or equivalent.
  • Strong critical‑thinking, problem‑solving and communication skills, able to work with both technical and non‑technical stakeholders.
  • Experience in the pharmaceutical/biotechnology/life‑science industry or CRO environment is a plus.
  • Familiarity with clinical trial data standards such as CDISC ODM, SDTM or ADaM is advantageous.

Required skills

  • Proficient in SQL, T‑SQL and PL/SQL programming.
  • Hands‑on experience with data‑reporting tools such as QlikSense, QlikView, Spotfire or Tableau.
  • Knowledge of cloud platforms (AWS, Azure) and big‑data technologies (Spark, Hadoop).
  • Experience with ETL tools (Informatica, IBM DataStage) and data‑modeling concepts.
  • Familiarity with programming languages including Python, R, C# and .NET.

Questions fréquentes

Le salaire n'est pas communiqué publiquement par le recruteur. Vous pouvez postuler et négocier directement avec eClinical Solutions.
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Source : ats:greenhouse

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Published 5 hours ago

Expires 1 month from now

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eClinical Solutions

Bangalore