Senior Data Analyst

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.