Big data professionals and data engineers

Job description

Accenture Digital is one of Accenture's five growth platforms and offers comprehensive portfolio of business and technology services across Digital marketing, eCommerce, Mobility services and Applied intelligence.

Applied intelligence -practice at Accenture help our clients grow their business in new ways – by enabling them to achieve better performance through insights from data. Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling – to outperform the competition.
We will give you the opportunity to grow personally and professionally in a dynamic environment. Our projects are built on cooperation and teamwork and you will find yourself working together with other talented, passionate and dedicated consultants, all working towards a shared goal.

Do you feel you could be our next piece of a puzzle and guide our clients to become truly data-driven companies and at the same time developing your expertise in data and analytics?

In the challenging but innovative crossroads of analytics and business, you would:

· Participate in vendor landscape and technology assessments (covering for example Hadoop, Spark, Kafka, TensorFlow etc.)
· Executing proof of concepts to assess the value of Big Data / Machine Learning use cases
· Building and implementing an architecture roadmap for next generation Big Data Analytics solutions for our clients
· Participating in full lifecycle implementation from requirements analysis, platform selection, technical architecture design, application design and development till testing, and deployment
· Working in collaboration with Accenture's global network of experts and delivery centres

Desired profile

Qualifications :

We are looking for team players having the following qualifications:

·  Master's Degree or PhD from a relevant field such as physics, math or information technology.
·  Previous experience (3+ years) in delivering an operational Big Data solution using one or more of the following technologies/distributions (Hadoop, Cassandra,

Hortonworks, Cloudera, MapR)

·  Hands-on coding experience in one or more of: Scala, Java or Python
·  Experience with Apache eco-system components such as Spark, Flume, Hive, Drill, Flink, HBase, Cassandra or Kafka
·  Understanding of traditional ETL tools, RDBMS, SQL
·  Experience in large scale cloud data solutions using platforms such as AWS, Azure or Google Cloud Platform
·  Experience in re-architecting and rationalizing traditional data environments with Hadoop or NoSQL technologies

Above this we also want you to:

·  Enjoy working in diverse teams
·  Have excellent written and oral/presentation skills both in Swedish and in English
·  Have a strong interest in growing your own technology skills
The position is based in Stockholm and may include travel.

Why Accenture? Because people enjoy working here; the work we do is challenging, interesting and meaningful.

Accenture offers a unique career experience and unparalleled opportunity for you to grow and advance. We are driven by the best results but we never forget to support each other. We like to challenge our employees and give them the opportunity to shine and succeed. We invest heavily in our people's growth and knowledge development.
Our best and only asset is our people. We believe they're at their best when knowing what's expected from them and we want to support them also in different life phases.
Interested? Make your move – apply online and attach your cv, application letter and salary request in English. We look forward to meet you!

Accenture welcomes and encourages applications from diverse backgrounds related to gender, age, ethnicity, culture, race, religion and belief, disability, nationality, sexual orientation and gender identity. Inclusion and diversity are fundamental to our culture and core values, providing an environment where everyone brings distinct experience, talent and culture to their work. We invite you to be part of this diversity!