Data Engineer Apprenticeship

Data Engineer Apprenticeship

Kickstart your career in Data Engineering today.


Data Engineer Certification: Code Rush is introducing a 6-month Data Engineer Apprenticeship program in partnership with Genese Solution Pvt. Ltd., commencing on Aug 15, 2022. This program offers candidates comprehensive off-the-job and on-the-job training in professional data engineering, fostering the development of both technical and non-technical skills necessary for a successful career in Data Engineering at Code Rush. Top performers in this certification program will be eligible for rewarding opportunities to launch their careers as Associate Data Engineers at Genese Solution Pvt. Ltd.

Explore more about different apprenticeship opportunities here. 

Total Seats: 25

Deadline: 31 July, 2022

Minimum eligibility requirements

  • Recent Graduates or Undergraduates in their final year in Computer Science, Math, Statistics, Engineering, or related fields
  • Evidence of knowledge and interest in coding and data analytics/engineering
  • Excellent written and spoken communication skills
  • Have the authorization to work in Nepal
  • Ability to commute to work
  • Commitment to a 30 hours/week schedule for 6 months
  • Dedication to learning and delivering assessments, assignments, and projects on time

Good to have

  • Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets
  • Theoretical knowledge of some popular neural networks (CNNs, GANs, ANNs, etc.)
  • Knowledge/interest in data warehouse architectures
  • Knowledge/interest in machine learning techniques (regression, classification, clustering, neural networks, etc.) and their real-world advantages/drawbacks.
  • Knowledge/interest in base concepts of neural networks such as batch, hidden layers, learning parameters, etc.
  • Excellent time management and organizational skills
  • Strong sense of personal responsibility and accountability
  • Excellent remote collaboration skills
  • Attention to detail
  • Excellent documentation skills

What we offer

  • Expertly curated learning curriculum accompanied with skill assessments and assignments to validate your progress
  • Project-based learning
  • Bi-weekly sessions with a dedicated mentor
  • Placement preparation
  • Opportunity for full-time offer as an Associate Data Engineer at Genese 
  • Travel and food allowance
  • Flexible time (30 working hours per week schedule subject to flexibility concerning personal schedules & centered on delivery)

Who is this apprenticeship for?

Individuals looking for a job

Undergrad students looking to kick-start their career


What will you learn?

Basics of Analytics

Learn highly specialized analytics tools like SQL, and Python to extract, report and analyze data to help make informed business decisions

Data Engineering

Understand the concepts and learn the tools for data engineering & text mining while also getting a data engineer certification

Collaboration Tools

Master concepts and tools for version control, project management, and team communication to master effective collaboration skills

Placement Skills

Be job-ready by improving your resume, learning essential soft skills for success at work, and taking mock interviews

Application Process

DevOps Engineer Course

Submit your application now to kickstart your career.

About the job

Data Engineers at Genese are responsible for analyzing, processing, and modeling data to interpret the results and create actionable company plans. As data engineers, they must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms, and creating/running simulations. They must be comfortable working with various stakeholders and functional teams. They must have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

Roles and Responsibilities:

  1. Use strong business acumen, as well as an ability to communicate findings and mine vast amounts of data for useful insights
  2. Mine and analyze data from company databases to drive optimization and improvement of product development and business strategies
  3. Sift and analyze data from multiple angles, looking for trends that highlight problems or opportunities
  4. Communicate important information and insights to business and IT leaders
  5. Make recommendations to adapt existing business strategies
  6. Assess the effectiveness and accuracy of new data sources and data gathering techniques
  7. Develop custom data models and algorithms to apply to data sets
  8. Coordinate with different functional teams to implement models and monitor outcomes
  9. Develop processes and tools to monitor and analyze model performance and data accuracy
  10. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes
  11. Other duties as assigned by the line manager

Our Alumni Work in the Best Companies