Position: Big Data Engineer
Company: Gemicle
Category: Data Engineer
Experience required: 3y
English level: upper

TRG Research and Development deals with Cyber Data Fusion and AI products for civilian protection.
Our mission is to empower our customers to fight crime and terror through state-of-the-art technologies that provide accurate and precise intelligence.
As a Big Data Engineer, you will work on the collection, storing, processing, and analysis of huge sets of data from heterogeneous domains. Your primary focus will be on researching optimal solutions appropriate for the aforementioned purposes then implementing, maintaining, and monitoring them.

**What You'll Do:**

Researching, designing, and developing appropriate algorithms for Big Data collection, processing, and analysis                             
Selecting and integrating any Big Data tools and frameworks required to enable new and existing product capabilities                             
Collaborate closely with the product team to define the requirements and set milestones that relate to Big Data features                             
Detect anomalies and perform an audit on raw and processed data                             
Monitoring performance and advising any necessary infrastructure changes                        
Defining data retention policies                             
Present data findings to internal and external stakeholders                             
Closely interact with the Data Scientists in providing feature-ed datasets

**What Skills and Experience You’ll Bring:**                            

Experience in one of the following: Java, Python or Scala 
Proficiency with Hadoop ecosystem services such as MapReduce v2, HDFS, YARN, Hive, HBase 
Experience with building stream-processing systems using solutions such as Apache Kaa and Apache Spark streaming                             
Experience with designing, implementing, and deploying in cluster data pipelines using Apache Spark framework (RDD, Dataframe, Streaming)                             
Experience with integrating data from multiple heterogeneous sources and various formats (CSV, XML, JSON, Avro, Parquet)                             
Experience with SQL databases and NoSQL databases, such as Elasticsearch and MongoDB 
Proficient understanding of microservices architecture and distributed systems 
Experience with Hadoop ecosystem on-premise or on-cloud 
Nice to have hands-on experience with Docker, Kubernetes 

**What Skills and Experience You’ll Bring:**                             

Experience in one of the following: Java, Python or Scala 
Proficiency with Hadoop ecosystem services such as MapReduce v2, HDFS, YARN, Hive, HBase 
Experience with building stream-processing systems using solutions such as Apache Kaa and Apache Spark streaming                             
Experience with designing, implementing, and deploying in cluster data pipelines using Apache Spark framework (RDD, Dataframe, Streaming)                             
Experience with integrating data from multiple heterogeneous sources and various formats (CSV, XML, JSON, Avro, Parquet)                             
Experience with SQL databases and NoSQL databases, such as Elasticsearch and MongoDB 
Proficient understanding of microservices architecture and distributed systems 
Experience with Hadoop ecosystem on-premise or on-cloud 
Nice to have hands-on experience with Docker, Kubernetes