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Urgent! Data Engineering Analytics Job Opening In WorkFromHome – Now Hiring Cabify
At Cabify we are a data-driven company.
Our team builds and develops a huge data warehouse where the Data Analytics team can find not only raw data, but also complex ETLs processes to provide the insights they need.
At the Data Engineering Analytics team, we oversee the management of our entire AWS platform, granting us the freedom to experiment and enhance our infrastructure with flexibility.
We've successfully built two ETL platforms that fuel our data warehouses (Redshift, BQ, and Tableau), providing crucial support for Cabify's analytics.
You will mainly work with Python, Kubernetes, Airflow and Gitlab.
This robust ecosystem supports over 650 ETL processes and facilitates more than 300 data source refreshes, enabling data-driven decision-making.
Our team plays a pivotal role in ensuring Cabify's analytics thrive, backed by cutting-edge technologies and a commitment to continuous improvement.
You will:
We are looking for new members, and this is how you will play an important part in helping us achieve our mission:
The good stuff:
We’re a company full of happy, motivated people and we never want that to change.
Here are some more reasons why it rocks to be part of our family.
Excellent Salary conditions: L2, up to €42k
Recharge days! (The 3rd Friday of the month OFF)
Hybrid working model (3 days/week working from the office, 2 days/week working from home) Our office is located in Madrid.
6 weeks of fully remote per year
Flexible work environment & hours.
Regular team events.
Cabify staff free rides.
Personal development programs based on our career paths.
iFeel: Free access to the iFeel platform, so you can take care of your emotional well-being through therapy sessions.
Coursera: your own license in Coursera to take as many courses as you wish and continue developing your skills.
Flexible compensation plan: Restaurant tickets, transport tickets, healthcare and childcare
All the equipment you need (you only have to bring your talent).
A pet room, so you don’t have to leave your furry friend at home
And last but not least...free coffee and fruit!
Cabify is proud of being an equal opportunity workplace.
We celebrate diversity and we are committed to creating an inclusive environment for all employees regardless of background, gender, religion, orientation, age or ability.
Join us!
✨ Smart • Intelligent • Private • Secure
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Unlock Your Data Engineering Potential: Insight & Career Growth Guide
Real-time Data Engineering Jobs Trends in WorkFromHome, Colombia (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Data Engineering in WorkFromHome, Colombia using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 21773 jobs in Colombia and 19335 jobs in WorkFromHome. This comprehensive analysis highlights market share and opportunities for professionals in Data Engineering roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Cabify is currently hiring and seeking a Data Engineering Analytics to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Data Engineering Analytics Jobs WorkFromHome.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Cabify adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Data Engineering Analytics Jobs Colombia varies, but the pay scale is rated "Standard" in WorkFromHome. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Data Engineering Analytics typically include Bases De Datos, Analítica Y Bi and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for Data Engineering Analytics, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Data Engineering Analytics interview at Cabify, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Cabify's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
Setting up job alerts for Data Engineering Analytics is easy with Colombia Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!