Warning

CyprusNet is not responsible or liable for any scams, frauds, misleading job offerings or false resume information within Cyprus Jobs free service. We strongly recommend that users never reveal private information such as credit cards, bank accounts, insurance numbers, passports, ID numbers or give away any money and so forth.

If you've been targeted by a job scam, report to: Cyprus Crime Combating Department

Position Details
Reference No.
109355
Title
Big Data Engineer in Limassol
Category
Employment Type
Full Time
Available Positions
1
Location(s):
Nicosia, Limassol, Larnaca, Paphos, Famagusta
Posted On:
24/04/2020
Contact Details
Company
Work Channel Recruitment
Contact Person
Andriana Papadopoullou
Address
Themis Tower, Anastasi Sioukri & Olympion, 3105 2nd Floor – Office ‎201, Limassol, Cyprus
Limassol
Phones
25774009
Job Description

On behalf of one of our clients a company that offers a unique approach based on integral solutions of geolocation systems, data fusion and operations from diverse sources in a single platform and interface, we are seeking to recruit a Big Data Engineer to join their team in Limassol.

Job Responsibilities

  • Researching, designing and developing appropriate data pipelines for collection, processing and analysis large volumes of data
  • Selecting and integrating Big Data tools and frameworks required to enable new and existing product capabilities
  • Detecting anomalies and perform audit on raw and processed data
  • Monitoring performance and advising any necessary infrastructure changes
  • Presenting data findings to internal and external stakeholders

Job Requirements

  • 3+ years experience in one of the following: Java, Scala or Python
  • Proficiency with Hadoop ecosystem services such as: MapReduce v2, HDFS, YARN, Hive
  • Experience with building stream-processing systems using solutions such as Apache Kafka and Apache Spark streaming
  • Experience with designing, implementing and deploying in cluster data pipelines using Apache Spark framework (rdd, dataframe, streaming)
  • Hands on experience with Big Data querying tools, such as Hive
  • 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 one of the following: Cloudera, Databricks, MapR, Hortonworks
  • Hands on experience with Docker, Kubernetes

What You’ll Enjoy:

  • Competitive remuneration package based on skills and experiences
  • Office perks: Free daily lunch, beverages, fruits, and snacks
  • Private health insurance paid by the company
  • Udemy unlimited membership
  • Technology passionate team
  • Participate in our yearly bonus plan
  • International, friendly and supportive environment
  • Engage with new technologies and innovative products

How to Apply

If interested and you match all the requirements, please send your CV to andriana.p@work-channel.com, including the title of the position in the subject line

Please note that due to the high volume of applications received, only successful candidates will be contacted