Mercer
JuniorDataEngineer
Neural analysis suggests this role is
optimal for Entry candidates.
“Junior Data Engineer at Mercer. Skills: Data pipelines, ETL processes, Data systems. Design data pipelines. Implement data pipelines”
Industry & Context.
Understand data; Manipulate data; Obtain answers; Identify problem cause; Spot anomalies; Spot trend changes; Investigate bugs; Investigate issues
Working at least three days a week in the office
What They're Looking For.
Must Have
Ability to understand data quickly, Good understanding of SQL scripting, Basic understanding of ETL processes, Basic understanding of data warehousing concepts, Excellent written and verbal communication skills, Ability to maintain discretion, Ability to deal with confidential information
Nice to Have
Knowledge of git version control, Knowledge of collaborative development practices, Experience with Python, Experience with PowerShell, Experience with C#, Experience with cloud platforms, Experience translating business requirements, Experience translating client requirements, Understanding of application development lifecycle delivery, Curious approach, Self-driven approach, Analytical approach, Ability to thrive in fast paced work environment, Enjoy autonomy, Enjoy responsibility for delivering projects
What You'll Do.
Design data pipelines
Implement data pipelines
Improve ETL processes
Translate business requirements
Translate client requirements
Manage analytics platform
Maintain analytics platform
Develop understanding of data structure
Derive insights from data
Communicate with stakeholders
Discuss issues with team members
Document issues with team members
Collaborate with team members
How You'll Work.
Team & Collaboration
With team members
Communication Scope
Written communication; Verbal communication; Clear communication; Professional communication
Process & Methodology
Requirements gathering, Design, Development, Testing, Deployment, Monitoring
Full Job Description
## Company: Mercer ## ## Description: We are seeking a talented individual to join our Data Engineering team at Darwin. This role will be based in Cluj, Romania. This is a hybrid role that has a requirement of working at least three days a week in the office. **We will count on you to:** * **Design and implement data pipelines across multiple source and destination** systems, utilising a variety of data technologies. * Continuously improve data systems and ETL processes to enhance their reliability, accuracy, security and performance. * Translate business and client requirements into end to end technology solutions. * Manage and maintain the analytics platform, investigate bugs and issues, and ensure systems work as expected. * Develop an expert understanding of how our data is structured and what insights can be derived from it. * Communicate clearly and professionally with internal and external business stakeholders, including senior leaders. * Discuss and document issues and solutions with team members in order to educate, collaborate and improve our knowledge and processes. **What you need to have:** * Ability to understand data quickly and clearly, manipulate it to obtain answers to questions or the cause of problems, and spot anomalies and trend changes. * Good understanding of SQL scripting. You should feel confident writing your own queries to explore new datasets, synthesise information and execute accurate, efficient queries on large datasets. * Basic understanding of ETL processes and data warehousing concepts. * Excellent written and verbal communication skills, with all levels and types of colleague. * Ability to maintain discretion and deal appropriately with confidential information. * Collaborative, willing to learn and willing to help others. **What makes you stand out?** * Knowledge of git version control and collaborative development practices. * Experience with Python, PowerShell or C#. * Experience with cloud platforms (e.g. Azure, AWS or GCP) *
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