Cloud Data Engineer

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Job Description


Cloud Data Engineer - South/Central America (EST)




Cloud Data Engineer will plan, design and implement new solutions using modern data technologies. This role requires strong technical leadership skills, ability to drive projects to success, rapid learning capability and working under pressure in fast-paced environments.



Responsibilities are including but not limited to:

  • Data processing requirements analysis
  • Data platform architecture taking into account requirements of data ingestion and access patterns, scalability, response time and availability
  • Data infrastructure deployment and configuration
  • Data pipelines development – ingestion, transformation, cleansing
  • Data flow integration with external systems
  • Integration with data access tools and products
  • Performance tuning for batch and real-time data processing
  • Assisting Data Analysts and advising on efficient data access and manipulations
  • Defining and implementing efficient operational processes
  • Other duties as assigned by the manager
Job Qualifications



Professional Attributes

The position requires broad range of knowledge and skills in the area of database management and software development gained through a combination of formal education, professional certifications, and significant work experience. This position requires out of the box thinking, creative mindset and “anything possible” attitude. Fast paced intense environment regularly pushing the barriers of one’s skills, knowledge and experience.

Successful candidate will possess most the following and demonstrate ability to learn them and start applying in practice quickly

  • Excellent communications skills and work management - self starter able to work independently and work on resolving dependencies with the project stakeholders directly
  • Experience transforming business requirements into software or system design
  • Designing and implementing complex data processing applications
  • Strong experience with Big Data and Cloud technologies (for example, Hadoop, Spark, Presto, Amazon RedShift, Google BigQuery, AWS, Azure, GCP), relational databases and SQL
  • Strong public cloud experience
  • Strong experience with BI platforms, reporting tools, data visualization products, ETL engines (products like Pentaho, Talend, Apache Nifi, etc)
  • Experience and working knowledge of various development platforms, frameworks and languages: Python and Java are focus, JavaScript is a nice to have


  • General knowledge of modern data-center and cloud infrastructure including server hardware, networking and storage
  • Strong background in relational databases
  • Real-time Hadoop query engines like Dremel, Cloudera Impala, Facebook Presto or Berkley Spark/Shark
  • DevOps experience



  • This is full-time position
  • Ability to work from company office when appropriate or from home office
  • Ability to perform primary job functions while sitting for extended periods of time
  • Dexterity of hands and fingers (or skill with adaptive devices) to operate a computer keyboard, mouse, and other computing equipment
  • The incumbent must be able to spend long hours in intense concentration



The above job description is meant to describe the general nature and level of work being performed; it is not intended to and should not be construed as an exhaustive list of all responsibilities, duties and skills required for the position.  Employees will be required to follow any other job-related instructions and to perform other job-related duties requested by their manager and in compliance with local and federal laws.

Requirements are representative of minimum levels of knowledge, skills and abilities.  To perform this job successfully, the employee must possess the abilities and aptitudes to perform each duty proficiently.  Continued employment remains on an “at-will” basis.


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