Full Job Description
Your field of responsibility
Self-driven Strong Cloudera Hadoop Engineer and Administrator who is able to perform platform engineering and support role in a fast paced and regulated environment. Work with application teams to deploy new applications. Provide vision and strategy to enhance Big Data Platform.
Your future colleagues
As a member of our distributed team, you will be collaborating with peers and colleagues around the world to support Big Data clients with data spanning Credit Suisse’s global organization to tackle emerging challenges using new technologies.
The department values Diversity and Inclusion (D&I) and is committed to realizing the firm’s D&I ambition which is an integral part of our global cultural values.
Your skills and experience
We are seeking hardworking, experienced Big Data Support Engineer to join a growing, high-visibility cross-Bank team that is developing and deploying solutions to some of Credit Suisse’s most important analytical problems
Strong knowledge of Cloudera Hadoop components such as HDFS, Sentry, HBase, Impala, Hue, Spark, Hive, Kafka, Kudu, Phoenix, Ozone, Ranger, Atlas, Knox, NiFi, YARN, ZooKeeper and Postgres. You are proficient in Python, Ansible, Salt and DevOps technologies. Linux and BASH scripting
You have a good knowledge in Cloudera CDH and CDP Cluster maintenance as well as creation and removal of nodes using tools like Cloudera Manager as well as performance tuning of Hadoop clusters and Hadoop MapReduce / Impala. You build and maintain positive relationships with your colleagues from other application teams to install Hadoop updates, patches, version upgrades
Design and implement column family schemas of HBase, apply different HDFS formats and structure like Parquet, Avro, etc. to speed up analytics, Fine tune Hadoop applications for commitment and efficiency. Troubleshoot and debug any Hadoop ecosystem run time issues
Proven experience in Service Management i.e. Release management, Incident management as well as experience with deployment toolsets like Odyssey & Git. Data visualization Tableau & Business Intelligence Pentaho
You are a dedicated problem solver with production support experience and an ability to collaborate within a multidisciplinary, distributed team. You are a hard worker with a strong curiosity for extracting knowledge from data and the ability to elicit technical requirements from a non-technical audience
Knowledge of Elastic Search, Data Search and Relational Query Language
You bring 5+ years of experience in enterprise IT at a global organization with recent 3+ years in Big Data ecosystem engineering/support
Dedication to fostering an inclusive culture and value diverse perspectives
Your new employer
Find a new home for your skills, ideas, and ambitions. Credit Suisse offers you the ideal environment to progress your career, attractive benefits and excellent training.
We are a leading wealth manager with strong global investment banking capabilities founded in 1856. Headquartered in Zurich, Switzerland, and with more than 45,000 employees from over 150 nations, we are always looking for motivated individuals to help us shape the future for our clients.
Credit Suisse is an equal opportunity employer. Welcoming diversity gives us a competitive advantage in the global marketplace and drives our success. We are committed to building a culture of inclusion with a deep sense of belonging for all of us. We will consider flexible working opportunities where possible. Our bank provides reasonable accommodations to qualified individuals with disabilities, as well as those with other needs or beliefs as may be protected under applicable local law. If you require assistance during the recruitment process, please let your recruiter know.
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