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Job Description
We are looking for a "Big Data Engineer" that will be working for one of our customers in the banking sector, working on the collecting, storing, processing, and analyzing of huge sets of data. The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them. You will also be responsible for integrating them with the architecture used across the company.
- Selecting and integrating any Big Data tools and frameworks required to provide requested capabilities
- Implementing ETL process
- Monitoring performance and advising any necessary infrastructure changes
- Defining data retention policies
Job Requirements
- Bachelor Degree of Computer Science, Computer Engineering or any relevant education.
- Proficient understanding of distributed computing principles
- Management of Hadoop cluster, with all included services.
- Ability to solve any ongoing issues with operating the cluster.
- Proficiency with Hadoop v2, MapReduce, HDFS
- Experience with building stream-processing systems, using solutions such as Storm or Spark-Streaming.
- Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala.
- Experience with integration of data from multiple data sources
- Experience with NoSQL databases, such as HBase, Cassandra, MongoDB
- Knowledge of various ETL techniques and frameworks.
- Experience with various messaging systems, such as Kafka
- Experience with Big Data ML toolkits, such as SparkML
- Good understanding of Lambda Architecture, along with its advantages and drawbacks
- Experience with Cloudera/MapR/Hortonworks
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