EOS MSP
Junior Analyst
The platform comprises multiple different technology stacks, developing pipelines and applications on
requires:
Coding & scripting proficiency in languages such as Python, C++ or Java & API integration
SQL knowledge in handling volumes of data and performance tuning
Nice to have understanding of webservices
Familiarity with HTML, CSS, and JavaScript and basic design/visual competency
Familiarity with common databases (e.g. JDBC, mySQL, Microsoft SQL). Not all types required
Familiarity with any cloud infrastructure/tools with respect to data engineering
Familiarity with Machine Learning & Gen AI is a plus
Strong communication skills
This position will be project based and may work across multiple smaller projects or a single large
project utilizing an agile project methodology.
Roles & Responsibilities:
Participate in end-to-end project lifecycle, from requirements analysis to go-live and operations
of an application
Acts as business analyst for developing requirements for pipelines
Review code developed by other data engineers and check against platform-specific standards,
cross-cutting concerns, coding and configuration standards and functional specification of the
pipeline
Document technical work in a professional and transparent way. Create high quality technical
documentation.
Work out the best possible balance between technical feasibility and business requirements (the
latter can be quite strict)
Deploy applications on platform infrastructure with clearly defined checks
Implementation of changes and bug fixes via Merck's change management framework and
according to system engineering practices (additional training will be provided)
DevOps project setup following Agile principles (e.g. Scrum)
Besides working on projects, act as third level support for critical applications; analyze and
resolve complex incidents/problems. Debug problems across a full stack and code based on
Python, Pyspark, and Java
Work closely with business users, data scientists/analysts to design dashboards