Data Engineer

Job Description

Reports to: CTO
Shift: Standard (09:00 AM to 06:00 PM) from Monday to Friday

Position Overview:  

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. This role requires a significant set of technical skills, including a deep knowledge of SQL database design and multiple programming languages.

Roles and Responsibilities

• 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

What We Offer

• 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

Required Qualification & Experience

Task Related skills and Certifications

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

How to Apply

Suitable candidates meeting the above criteria are requested to send their CV and cover letter to careers@genese.com.np

Only shortlisted candidates will be invited for the further selection process. You are requested to clearly mention the position you are applying for in the subject of the email.