Do you want to work on the cutting edge? Do you want to expand your knowledge and abilities? Are you passionate about data?
Have you been working in similar positions before? Currently we are looking for an experienced Big Data Engineer to make our team in Manno even stronger.
We offer you a highly motivated and experienced team with in-depth knowledge about Advanced Analytics, building models and algorithms.
You’ll operate and maintain the whole platform end to end and work closely with the development teams. This role includes significant responsibilities and development possibilities.
Engineer and integrate the platform from a technology point of view
Engineer core Big Data platform capabilities
A passionate Big Data Engineer looking for new challenges
Proactive, looking for creative and innovative solutions
A flexible, open-minded, and cooperative person
Interested in working in a fast-paced international environment as part of an international team
Bachelor's degree in computer science, computer engineering, management information systems, related discipline or equivalent experience
At least 3 years of Experience in designing and operating Kafka Clusters (Confluent and Apache Kafka) on-premise
At least 5 years of Experience in design, sizing, implementation and maintaining Hortonworks based Hadoop Clusters
At least 3 years of Experience in securing and protection of Hadoop clusters (Ranger, Atlas, Kerberos, Knox, SSL)
At least 5 years of Experience in designing Big Data architectures
At least 5 years of demonstrated experience in gathering and understanding customer business requirements to introduce Big Data technologies
At least 5 years of Experience in configuring the tools from the Hadoop ecosystem, like Hadoop, Hive, Spark, Kafka, Solr, Nifi
Experience with IBM Watson Studio Local integration
Experience with IBM DB2 is a plus
Experience with IBM Power Systems is a plus
Knowledge of Security (e.g. 2FA, Ranger etc.)
Experienced in implementing complex security requirements in the financial industry
Good abstraction and conceptual skills combined with a self-reliant, team-minded, communicative, proactive personality
Competitive compensation depending on skills and experience
Knowledge-sharing across EPAM's global Tech Communities
Unlimited access to LinkedIn learning solutions
Relocation support as per EPAM relocation policies
EPAM Community with regular corporate and social events
Career growth, performance and compensation reviews
Please note that any offers will be subject to appropriate background checks
We do not accept CVs from recruiting or staffing agencies
Due to the Swiss labour legislation we can only accept applicants who have a valid right to work in Switzerland