Big Data Engineer

About the Position

A Big Data Engineer is a person who creates and manages a company’s Big Data infrastructure and tools, and is someone that knows how to get results from vast amounts of data quickly. This role is focused on engineering, without requiring statistics and strong machine learning skills.

Responsibilities

• 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
• Add any other responsibility that is relevant

Requirements

• 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 Spark
• 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, such as Flume
• Experience with various messaging systems, such as Kafka or RabbitMQ
• Experience with Big Data ML toolkits, such as Mahout, SparkML, or H2O
• Good understanding of Lambda Architecture, along with its advantages and drawbacks
• Experience with Cloudera/MapR/Hortonworks

Nice to Have

• Pig
• Impala
• Flume

We Offer

• Competitive salary
• Remote work options
• Professional development budget

About the Company

{{Write a short and catchy paragraph about your company. Make sure to provide information about the company culture, perks, and benefits. Mention office hours, remote working possibilities, and everything else you think makes your company interesting. Big Data Engineers like to work on huge problems - mentioning the scale (or the potential) can help gain the attention of top talent.}}