Genese Solution

Genese Solution Pvt. Ltd is Nepal's first Cloud Consulting Company. We have our Head office in the United Kingdom and branch offices in India, Pakistan, Bangladesh, and Australia. We are the one and only Advanced Consulting Partner for Amazon Web Services (AWS) in Nepal. We are also partnered with Google, Microsoft, Alibaba, and Digital Ocean. Genese’s core technical team resides in Nepal and provides consultancy and support worldwide for Cloud Solution.  

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Sr. Data Engineer

Database

Apply Before : 2021-10-21 ((2 Days Left))

Job summary

  • No. of Vacancy
    1
  • Job Type
    Full Time
  • Offered Salary
    Negotiable
  • Gender
    Both
  • Career Level
    Senior Level
  • Industry
    Software Industry
  • Experience
    4 Years
  • Location
    Lalitpur
  • Apply Before
    2021-10-21
    (2 Days Left)
  • Views
    441

Job Description:

A Data Engineer will be responsible for expanding and optimizing data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products.

  • Streamline data processes through various data sources for the group 
  • Create and maintain data pipeline architecture in AWS 
  • Create data tools/solutions to assist stakeholders to ingest large data to perform complex quantitative analysis 
  • Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs 
  • Interface with the Data & Infrastructure teams for optimal extraction, transformation and loading of data from a wide variety of data sources 
  • Work with data and analytics experts to strive for greater functionality in data systems. 
  • Establish processes to perform on-going data monitoring to ensure data quality for quantitative modeling and application engineering exercises 
  • Interface with Vendors and establish data pipelines to extract data via API automation

Required Knowledge, Skills, and Abilities

Task Related skills and Certifications 

  •  Advanced working SQL knowledge and experience working with databases, query authoring (SQL) as well as working familiarity with a variety of database ○ Experience in data transformation, data structures, metadata, and workload management 
  • Experience in analyzing data and establishing data quality check protocols ○ Experience with big data tools: Hadoop, Spark, Kafka, etc. 
  • Familiarity with all AWS data products especially – Athena, Redshift, DynamoDB, Neptune, Glue, Lake Formation 
  • Experience with object-oriented/object function scripting languages: Python, Scala, etc. 
  • Build analytics tools that utilize the data pipeline to provide actionable insights using AWS QuickSight 
  • Experience with scheduling software and shell scripting (UNIX/Linux) ○ Familiarity with other AWS services required to build data infrastructure

 Competencies and Soft Skills 

  •  Strong analytic skills related to working with unstructured datasets. 
  •  Demonstrated experience building collaborative partnerships. 
  • Strong organization and prioritization skills along with outstanding written and verbal communication skills 
  • Strong project management and organizational skills 
  • Willingness to build professional relationships with staffs and clients 

Education + Experience

  •  Bachelor's degree in computer science, engineering, or a related field. 
  •  4+ years of relevant industry experience. 

Benefits

  • 5 working days in a week (09:00 am-06:00 pm)
  • Work in a multinational company operating in the Cloud & ICT domain, based out of the UK and operating in Finland, Australia, India, Nepal, Pakistan, Bangladesh & Srilanka
  • Best in class open, progressive, professional, and equal opportunity work environment
  • Closely knit and supportive team members and a culture where your contributions, opinions, and diversity is welcome, respected, & encouraged
  • Exposure to multi-disciplinary skill areas (including team management & leadership) in a vibrant start-up ecosystem with deep work involving world-class leaders like Amazon, Microsoft, Google, Zoom, Alibaba, DigitalOcean, and Facebook
  • Opportunity to travel regionally (as part of assignment/ training and development or delivery ) in Nepal, India, Pakistan, Bangladesh, or Srilanka

Apply Instruction

Interested candidates fulfilling the mentioned criteria are encouraged to Apply using the Easy Apply Button below. Registered candidates may also apply using Apply Now Button.

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