Flint Data

With a view to the ongoing digital transformation, we have made it our mission to provide you with Analytics talents as a specialist to enable you to serve all the data touchpoints. In doing so, we see ourselves as a service provider who not only provides you with CVs, but also gives you insights into the market and advises you on trends and developments.

Flint Data Munich, Germany
16/09/2019
Full time
For more than 100 years, we have been merging technology and everyday life as a company.   The future begins with us. Tools AWS Apache Kafka Hadoop Java NoSQL Tableau Scala Salary 70K EUR - 80K EUR With more than 100 years of professional experience and over 100,000 employees, our customers are among the few companies that have been setting trends for decades and are seen as a catalyst for progress and people.   ,   OB IOT or self-driving cars, from the firewall, has always been fiddled with the future.   For my clients, CRM, BI, and Data Science teams are making AI a reality today.   More than 170 databases and 307 servers worldwide ensure a unique customer experience in real time.   In order to do justice to the speed of the digital transformation, the data infrastructure is being restructured on a cloud level as part of a million-dollar package. tasks Design and implementation of data integration components to support data-driven applications and data science projects. Analysis and processing of structured and unstructured data sources. Design and implementation of APIs and systems to enable high-   performance use of data.   Continuous data quality assurance and policy development Improve Quality Using Big Data Tools such as Spark, Elasticsearch, Hadoop, Kafka, Impala, ... Build Scalable Software and Applications with Python, Scala, and JavaScript Manage and develop existing technologies in collaboration with your team profile Completed university studies in computer science, business informatics or a comparable degree program First professional experience in the development of backend applications, ideally for highly scaled systems Hute knowledge in relational and NoSQL database systems (eg PostgreSQL, MongoDB, Elasticsearch etc.) "Know How" in Big Data Ingestion / ETL processes and technologies (eg Flume, Kafka, Python, Scala ...) Knowledge of big data infrastructures (especially Hadoop, Spark, Impala, Hive) Very good knowledge of SQL Desirable knowledge of common web technologies (eg JavaScript, Python ) Goodies Questions Max Mustermann Data Engineering Consultant 030 8940 2566 info@flint-data.com
Flint Data Berlin, Germany
16/09/2019
Full time
Real Time" starts here in the backend and underlines our company philosophy Tools Hadoop Python Spark MongoDB HBase MySQL NoSQL Salary 85K EUR - 95K EUR My customer is one of the largest & highest-revenue companies in the world and is considered a figurehead for customer-centric experiences.   With the success in the back one starts now a new venture in the FMCG range, which should umkrempeln the market.   Here again the in-house "tech solution" should make the difference. In this sense, my customer continues to expand his expertise in the fields of BI, CRM, Data Science.   As a result, Scalibilty and big data infrastructures are one of the cornerstones of the success of the venture. Become part of a multinational team with HQs in London, New York, Madrid, Cape Town, Tokyo & Berlin and create tomorrow's tomorrow today. Tasks Development of end-to-end big data solutions along the global group using state-of-the-art technologies (Hadoop, Spark, etc.) Evaluation and processing of huge amounts of structured and unstructured data Design & implementation of data models, data streams and APIs to enable a "Data Driven Culture " Ensuring and improving data quality Standardization of Big Data models for productive use Consulting in technology selection Working in self-organized, agile cross-functional teams with a lot of creative freedom and close cooperation with departments Intensive dialogue and training opportunities of personal, methodical and technical excellence Profile University studies eg in Computer Science, Mathematics Physics;   Gladly also committed newcomers At least!   2 years practical experience in Big Data Very good knowledge of Java, Scala or Python Good understanding of MapReduce;   ideally practical experience with the Hadoop stack, Apache Spark, Apache Flink, Google Data Flow "know how" and interest on AI Integrated software technologies and frameworks are such as Spring, Maven, Git, ItelliJ, CI, CD, Docker are you familiar Good Knowledge in SQL and NoSQL databases, eg PostgreSQL, Apache HBase, Apache Cassandra, MongoDB Experience in messaging systems, such as Apache Kafka Goodies Home Office Training Running Group Hardware Private Insurance Questions Max Mustermann Data Engineering Consultant 030 89 40 25 66 info @ flint -data.com