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Data Engineer -Sr- II (Hea Job/ 229)

For Eclinical Solutions' Industry-Leading Data & Analytics Platform,
7 - 10 Years
Full Time
Up to 60 Days
Up to 19 LPA
1 Position(s)
Bangalore / Bengaluru
Posted By : HeadPro Consulting
Posted 1 Day Ago

Job Skills

Job Description

 

Education/Language:  7+ years of professional experience in a Services or Consulting role preferred  Bachelor's or Master's degree in science, technical or business discipline or equivalent experience preferred  5+ years in QlikView and Qlik sense development experience preferred  Understanding of Cloud / Hybrid data architecture concepts is a plus  Prior experience in customer facing roles is a plus  Experience in Pharmaceutical/Biotechnology/Life Science industry is a plus Professional Skills & Experience:  Have critical observation and communication skills to Identify any gaps in processes or product  Ability to work with various technical and non-technical teams both internal to eCS and clients  Must be team oriented with strong collaboration, prioritization, and adaptability skills  Excellent knowledge of English; verbal and written communication skills with ability to interact with users and clients providing solutions  Experience in the Life Sciences industry, CRO / Clinical Trial regulated environment preferred  Experience in regulatory computer systems validation a strong plus Technical Skills & Experience:  Proficient in SQL, T-SQL, PL/SQL programming, Or R Package, or Python or SAS  Proficiency in Microsoft Office Applications, specifically MS Project and MS Excel  Experience with multiple Database Platforms: Oracle, SQL Server, Teradata, DB2 Oracle  Experience with Data Reporting Tools: QlikSense, QlikView, Spotfire, Tableau, JReview, Business Objects, Cognos, MicroStrategy, IBM DataStage, Informatica, Spark or related  Familiarity with other languages and concepts: .NET, C#, Python, R, Java, HTML, SSRS, AWS, Azure, Spark, REST APIs, Big Data, ETL, Data Pipelines, Data Modelling, Data Analytics, BI, Data Warehouse, Data Lake or related