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Cloud Platform Security Engineer
  • Job type: Permanent
  • Location: New York
  • Salary: £140000 - £190000 per annum
  • Description Cloud Platform Security Engineer Financial Services Company New York, New York, USA Compensation: $140,000 - $190,000 + Bonus & Benefits A multinational financial services company providing
Senior IAM Architect
  • Job type: Permanent
  • Location: Pennington, New Jersey
  • Salary: £100000 - £160000 per annum
  • Description Senior IAM Architect Financial Services Company Pennington, New Jersey, USA Compensation: $100,000 - $160,000 + Bonus & Benefits A multinational financial services company providing financial
Machine Learning Engineer
  • Job type: Permanent
  • Location: San Francisco, California
  • Salary: US$150000 - US$170000 per annum + Equity
  • Description Machine Learning Engineer, Autonomous Driving $150,000-170,000 depending on experience Equity + Bonus + Benefits + Perks San Francisco Bay Area Overview Glocomms are building out the Software
Customer Success Manager
  • Job type: Permanent
  • Location: Mountain View, California
  • Salary: US$170000 - US$190000 per annum + Bonus + Stock
  • Description Customer Success Manager Leading Cloud Security Vendor Mountain View, CA $170,000-$190,000 Base + Bonus + Stock A leading Cloud Security vendor that has recently come out of Stealth Mode and has
Sales Engineer | Threat Intelligence
  • Job type: Permanent
  • Location: Boston, Massachusetts
  • Salary: US$130000 - US$160000 per annum
  • Description Senior Solutions Engineer | Industrial Security A rapidly growing industrial security vendor is looking for a subject matter expert in ICS and IIoT security to join as a Senior Solutions Engineer
Data Engineer - Stuttgart
  • Job type: Permanent
  • Location: Stuttgart, Baden-Württemberg
  • Salary: Competitive
  • Description My client is an innovative consulting and project management company, which works with big international companies across different industries. In the rapidly changing digital world
Network Engineer
  • Job type: Permanent
  • Location: Stuttgart, Baden-Württemberg
  • Salary: Competitive
  • Description A global automotive company is looking for a Network Engineer to help manage and troubleshoot the network infrastructure of their rapidly expanding business. The role is based in Stuttgart
IT Security Expert
  • Job type: Permanent
  • Location: Stuttgart, Baden-Württemberg
  • Salary: Negotiable
  • Description A global automotive company is looking for an IT Security Expert to define and implement the security strategy of their rapidly expanding business. You will plan the technical aspects of their IT
Autosar Software Developer
  • Job type: Contract
  • Location: Munich, Bayern
  • Salary: Competitive
  • Description Autosar Software Developer We are currently seeking a Senior System Software Engineer with strong fundamentals in embedded systems, MCUs, AUTOSAR and excellent C/C++ skills to work in Automotive

A relatively new term, big data is used to explain the collection of huge amount of information in extensive quantities, from multiple sources. Big data involves data sets that are so large and complex that traditional data processing software applications are inadequate to deal with them. Big data engineers develop, evaluate, maintain, and test big data solutions within organizations. These professionals manage and creates the tools and big data infrastructure of a company, and identify methods of getting results quickly from vast amounts of data. 
Big data can come from both digital and traditional sources, and the data can be received from internal and external sources. A big data engineer is involved in accessing, analyzing and managing massive amounts of data or information and using them to meet strategic and business objectives. 

Job Specification, Salary, Outlook
Big data specialists must be business and tech-savvy with an aptitude for statistics and mathematics. Several years of experience, and the combination of these two in-demand skills will help a big data engineer to earn an above average salary, and expertise in this area can make for a very lucrative career. For the best career prospects, it’s important to stay up to date with developments and trends in this field.  

So how much do big data engineers earn? It depends on a number of factors, but the average salary for big data engineers in the United States is $96,649 per annum, with a range of $67,928 - $154,047. Factors that affect the level of salary include job location, technical skills, on-the-job experience, and academic background. Salary and other facilities are largely dependent on your ability to deliver results and level of experience. In the UK, an average salary of £34,427 per year can be expected, with a range of £17,049 - £59,520.   

Job Description
As a big data engineer, you help companies to manage an incredibly large amount of data the organizations are bombarded with regularly. You need to analyze a vast amount of data on a daily basis, and help the employer to understand how they can use the information to stay competitive, and what the data can do for them. A big data engineer’s regular tasks include supporting and developing processes, technology and personnel that analyze, gather, organize and store information. 

Typical Responsibilities:

  • Gathering and processing raw data at scale (including web scraping, writing scripts, SQL queries, APIs etc.)
  • Working closely with the engineering team to integrate algorithms and innovations into production systems
  • Supporting key business decisions with the necessary analysis 
  • Processing and analyzing massive amounts of unstructured data 
  • Providing managerial and technical leadership in a team that designs and develops large-scale cluster processing systems of available data 
  • Guiding and managing the lifecycle of a Hadoop solution, including platform selection, requirements analysis, application design, technical architecture design, development, testing and deployment
  • Extracting huge volumes of data from a variety of sources
  • Exploring data using visualization, statistics and quantitative tools
  • Establishing and maintaining effective processes for updating and validating predictive models
  • Selection of appropriate techniques for statistical processes 
  • Analysis, forecasting, and modelling of utilization trends/patterns 
  • Collaboration with data strategy partners and internal stakeholders to improve efficiency 
  • Managing the innovation cycle of generating insights, conducting analyses and advocating the integration of new concepts into scalable software solutions 

Key Skills & Qualifications      
This field is relatively new, so education and training institutions are still updating and expanding their offerings and programs to support a career as a big data engineer. A degree in computer sciences, computer engineering, mathematics or statistics is a solid starting point.  A post-graduate degree can be required for highly sought after big data engineer jobs.
Big data engineers should be able to program or code with programming languages such as Python, Java, R, Ruby, Matlab, Clojure, SQL or Pig. They should understand Hadoop, MapReduce and/or Hive. 

Required job skills:

  • Experience with data structures and complex data 
  • Management capability of Hadoop cluster, with other services 
  • Solid understanding of distributed principles of computing 
  • Capability to solve operational issues with the Hadoop cluster  
  • Proficiency with HDFS, MapReduce, Hadoop v2 
  • Experience with using solutions such as Spark Streaming or Storm, and building stream-processing systems
  • Solid knowledge of big data querying tools, such as Impala, Hive, and Pig 
  • Experience with the integration of vast amounts of data from various data sources
  • Knowledge of NoSQL databases, such as MongoDB, Cassandra, HBase 
  • Experience with various frameworks and ETL techniques, such as Flume 
  • Knowledge of various messaging systems, such as RabbitMQ and Kafka 
  • Experience with big data ML toolkits such as H2O, SparkML, or Mahout 
  • Solid understanding of Lambda Architecture 
  • Experience with Hortonworks/MapR/Cloudera
  • Ability to lead, communicate and manage 
  • A highly analytical and methodical approach

Job Trends  
It is expected that the career opportunities for big data engineers will continue to increase in the next ten years. Organizations are becoming more and more aware of the value of using big data to make informed, strategic business decisions and to see the big picture.