Data Engineer Apprenticeship

Kickstart your career in Data Engineering today.

Overview

Code Rush is launching a 6-month Data Engineer Apprenticeship program for Genese Solution Pvt. Ltd. from Aug 15, 2022. During the apprenticeship program, the candidates will receive off-the-job and on-the-job professional training to develop their technical and non-technical competencies for a career in Data Engineering at Code Rush. The best performers in the apprenticeship program will get opportunities to start meaningful careers as Associate Data Engineers at Genese Solution Pvt. Ltd.

Total Seats: 25
Deadline: 31 July, 2022

Application Closed

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

Become proficient in Data Engineering and understand the concepts and learn the tools for cloud computing & text mining

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

Submit your application now to kickstart your career.

Apply Now

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:

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

Data Engineer Apprenticeship