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Senior Data Analyst in Cluj-Napoca

Job Location: Cluj Napoca

Regional Description: Romania

Job Number: 00625547


- Job description

Bring your talent and passion to Accenture – sharpen your skills, build an extraordinary career and play a key role in creating solutions that transform organizations and communities around the world.

Join Accenture Digital!
The digital revolution is changing everything. It’s everywhere – transforming how we work and play. Are you reacting to the disruption each day or are you leading the way as a digital disrupter? Accenture Digital is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. At the forefront of digital, you’ll create it, own it and make it a reality for clients looking to better serve their connected customers and operate always-on enterprises. Join us and become an integral part of our experienced digital team with the credibility, expertise and insight clients depend on.

Industry X.0
A new area within Accenture Digital is Industry X.0, an advanced, digitally enabled, innovative, planning and investment approach for manufacturing and asset-intensive industries
In your role within our Industry X.0 team, you’ll help clients take advantage of significant market opportunities as digital technology moves into the core of industry in product development and manufacturing environments.  You’ll help them transform their product, manufacturing and product related services value chains in Products, Communications, Media, High Tech, Aerospace & Defense, Chemicals, Mining, Oil & Gas and Utilities.   As part of Accenture Digital, you’ll benefit from tailored career management and specialist skills that will fuel your ambitions in the Industry X.0 space.
We offer a diversified range of activities in an international environment as well as a young and dynamic team with ambitious, yet realistic objectives for the future, promoted by an open team and communication culture. We offer individually adapted technical and soft-skill trainings, flexible working time, private medical insurance and diversified possibilities for sport activities.

Job Description

We are searching for a reliable, dynamic and experienced big data developer to take over the following responsibilities:
  • Analyze requirements, design solutions and develop software artefacts;
  • Interact with our clients to understand their needs;
  • Participate in high level estimates for large work packages;
  • Start new projects and actively participate in all project phases;
  • Assist juniors to develop for the next career level;
  • Support continuous improvement by investigating alternatives and technologies.

Basic Qualifications: 

  • BS/MS degree in Computer Science, Engineering or a related subject;
  • Experience with Hadoop and Spark;
  • Experience with higher level programming languages like Java, Sacala, and Python;
  • Previous automotive experience is a plus;
  • Excellent interpersonal skills, positive attitude;
  • Experience with Open Source big data technologies like Kafka, storm, Cassandra, HBase, etc.
  • Fluency in English/German (written and oral); 
  • Proven success in contributing to a team-oriented environment; 
  • Proven ability to work creatively in a problem-solving environment;

Professional Skill Requirements: 

  • Hands on development experience in some of the technologies including – Hadoop, Spark, HBase, Hive, Pig, R;
  • Solid skills in one of the following: Java, C++, Python, and Scala, Unix script development, modeling NoSql data stores, and a good understanding of working with Spark or Hadoop MapReduce type programming;
  • Experience in areas of optimizing management of and deriving insights from non-structured non-relational data and provide business value from content through improved information management is key;
  • Experience in analyzing text, streams, documents, big data, speech with emerging Hadoop-based big data, NoSQL, Natural Language Processing, Search and Text analytics technologies and techniques;
  • Apply big data technologies such as Hadoop, Spark or Streams with NoSQL data management and related programming languages for analytics and experimentation with large, multi-structured data sets.

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