Data Engineer in a Pharmaceutical (Pharmatech) / Healthcare Technology Company

TalentSquare - Our client is categorized under the Pharmaceutical (Pharmatech) / Healthcare Technology industry.

They are recruiting to fill the position below: Job Title: Data Engineer Location: Lagos, Nigeria Job Type: Full-time

Job Description

Design schema and implementing changes
Maintaining data architecture standards
Enable running data migrations across different sources
Perform thorough testing and validation in order to support the accuracy of data transformations and data verification
Experience or knowledge of dimensional modeling
Monitor and evaluates trends for performance and opportunities
Be an integral part of implementing a data analytics strategy and supporting the development of a data-driven culture.
The Data Engineer will have a hands-on key role to promote a data-driven culture and be able to structure data, be responsible for the management of data warehouse and other databases. As well as help implement a data analytics strategy, be able to make the data tell a story and reveal deeper insights and intelligence.
The Data Engineer will play a vital role in solving problems across database management and integration and data quality assurance. He will also participate in analysis and solving problems across a wide range of business areas that have an immediate impact on business resulting from his personal work directly.
Create database optimized for performance

Analysis experience is a plus, with the ability to:

Provide analysis, interpretation, recommendation, and execution of margins and other
Understand business goals and priorities to craft and deliver meaningful reporting solutions
Analyze data to discover and interpret trends, patterns, and relationships.

Nice to haves:

Design and develop scalable ETL packages from the business source systems and the development of ETL routines in order to populate the data warehouse from various sources and also to create aggregates.
Develop dashboards, ETL workflows, aggregate, and analytical datasets

Qualifications

Knowledge of data mining and segmentation techniques
Familiarity with Data Virtualization
Proven analytical skills
Must possess effective oral communication and interpersonal skills with ability to deal with all levels of personnel in a professional and effective manner.
Bachelor's Degree in Mathematics, Statistics, Computer Science, or other quantitative fields
Minimum of 3+ years' experience in working with data, cloud services, database management and optimization In-depth understanding of database structure principles
Expertise in SQL
Experience gathering and analyzing system requirements