Data EngineereClinical
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Job Location:
Monthly Salary:
Posted on:
18 hours ago
Vacancies:
1 Vacancy
Job Summary
KEY TASKS & RESPONSIBILITIES
Work closely with stakeholders to understand business requirements translate them into
technical solutions and deliver actionable insights.
Deep understanding of system architecture design patterns scalability and performance
optimization.
Design develop and maintain interactive dashboards reports and visualizations using Qlik
Sense.
Extract Transform and Load (ETL) data from various sources/datamarts into Qlik Sense.
Good understanding of SQL & able to write simple to moderate SQL queries.
Develop robust data models including data transformations and scripting for optimal
performance and accuracy.
Optimize data models and dashboards for speed and efficiency.
Manage/control Qliksense securities using section access.
Ensures best practices are followed and code quality is high
Collaborate with cross-functional teams including Domain experts data engineers and other
developers to ensure successful project delivery.
Present insights and findings to non-technical stakeholders in a clear and impactful manner.
Debug issues in the existing qliksense Apps and ensure ongoing functionality.
Stay updated on the latest features and enhancements in Qlik Sense and other BI tools.
technical solutions and deliver actionable insights.
Deep understanding of system architecture design patterns scalability and performance
optimization.
Design develop and maintain interactive dashboards reports and visualizations using Qlik
Sense.
Extract Transform and Load (ETL) data from various sources/datamarts into Qlik Sense.
Good understanding of SQL & able to write simple to moderate SQL queries.
Develop robust data models including data transformations and scripting for optimal
performance and accuracy.
Optimize data models and dashboards for speed and efficiency.
Manage/control Qliksense securities using section access.
Ensures best practices are followed and code quality is high
Collaborate with cross-functional teams including Domain experts data engineers and other
developers to ensure successful project delivery.
Present insights and findings to non-technical stakeholders in a clear and impactful manner.
Debug issues in the existing qliksense Apps and ensure ongoing functionality.
Stay updated on the latest features and enhancements in Qlik Sense and other BI tools.
This role requires a mix of technical expertise in Qlik Sense and strong analytical and problem-
solving skills to support data-driven decision-making across the organization.
solving skills to support data-driven decision-making across the organization.
Acts as a mentor for junior engineers guiding them in technical skills and career development.
Often leads teams or project initiatives driving technical decisions and strategy.
Plays a key role in the success of projects or even the entire product.
Responsible for identifying risks addressing technical debt and ensuring scalability and
maintainability.
all required specifications and quality control documents as per SOP and processes.
Ensuring compliance with eClinical Solutions/industry quality standards regulations
guidelines and procedures.
Demonstrating strong analytical and problem-solving skills to identify issues and develop
creative solutions that drive results.
Conveying information clearly and concisely to diverse audiences facilitating
understanding and collaboration.
Often leads teams or project initiatives driving technical decisions and strategy.
Plays a key role in the success of projects or even the entire product.
Responsible for identifying risks addressing technical debt and ensuring scalability and
maintainability.
all required specifications and quality control documents as per SOP and processes.
Ensuring compliance with eClinical Solutions/industry quality standards regulations
guidelines and procedures.
Demonstrating strong analytical and problem-solving skills to identify issues and develop
creative solutions that drive results.
Conveying information clearly and concisely to diverse audiences facilitating
understanding and collaboration.
Position: Data Engineer Sr - II
Education/Language:
7 years of professional experience in a Services or Consulting role preferred
Bachelors or Masters 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
7 years of professional experience in a Services or Consulting role preferred
Bachelors or Masters 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
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
