Werben HR

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Sr. Data Engineer REMOTO ARGENTINA ID 100/747

23 Apr 2021  
Data Engineer  

Nuestro cliente es líder mundial en servicios de auditoría, asesoramiento en transacciones y consultoría. Se encuentra en la

B.S. in Actuarial, Behavior Economics, Computer Science, Data Analytics, Data Science, Econometrics, Engineering, IT, Cyber Security, or related field preferred

The selected candidate

•    Leads the delivery of processes to extract, transform and load data from disparate sources into a form that is consumable by analytics processes, for projects with moderate complexity, using strong technical capabilities
•    Designs, develops and produces data models of relatively high complexity, leveraging a sound understanding of data modelling standards to ensure high quality
•    Builds networks with other departments across the business to help define and deliver business value, and may interface and communicate with program teams, management and stakeholders as required to deliver small to medium-sized projects

Your key responsibilities include

•    Leading the production of high-quality data engineering deliverables, helping to ensure project timelines are met, and providing informal mentoring / training to junior members of the team
•    Leading the delivery of data quality reviews including data cleansing where required to ensure integrity and quality

•    Strong analytical skills and problem-solving ability
•    A self-starter, independent-thinker, curious and creative person with ambition and passion
•    Excellent inter-personal, communication, collaboration, and presentation skills
•    Customer focused
•    Excellent time management skills
•    Positive and constructive minded
•    Takes responsibility for continuous self-learning
•    Takes the lead and makes decisions in critical times and tough circumstances
•    Attention to detail
•    High levels of integrity and honesty

You Must have 

-Power BI.( from 4 years experience)

-SQL:  stored procedures / SSIS.


English advanced

Desiderable: background en Supply chain.