Data Engineer
Data Engineer
Category: Software Development
Location: Bucharest, Romania
Reward: € 1,000 - € 2,000
Employment Type: Employment contract
Time Allocation: Full Time
Workplace Type: Hybrid
Remaining positions: 2
Responsibilities:
- Mine and analyze data from across the web.
- Assess the effectiveness and accuracy of new data sources and data-gathering techniques.
- Develop custom data models and algorithms to apply to text datasets.
- Use predictive modeling to increase and optimize data extraction and data quality at ingestion and post-processing.
- Develop the company's A/B data testing framework and test the quality of the data continuously.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
- Prototype quickly to solve thorny use cases, without getting stuck in theory, as we're prone to shipping early and often.
- Write well-designed, testable, efficient code.
- Identify areas of opportunity and improvement.
What's in it for you:
- Pioneering work at the forefront of Big Data, Infrastructure and Machine
- Learning that sometimes means relying on academic papers as our only formal guiding tools in moving onwards.
- The chance to shape an original product in a fast-growing company, backed by VC investors.
- A merit-based, no BS, value-oriented and particularly collaborative work environment.
- Fair compensation, the possibility of ESOP and upward salary growth based on performance.
- Groundbreaking professional challenges and the autonomy to try stuff for the very first time, no matter how experienced you are.
- The promise to use the right tool for the job to be able to channel your efforts on what can’t be compensated for — the best use of your skills and abilities.
- The space to try new things out (your way) paired with the freedom to make reasoned decisions and own them.
Qualifications:
- Experience using statistical computer languages, preferably Scala (or R, Python, SQL etc.) to manipulate data and draw insights from (very!) large datasets.
- Experience working with and creating data architectures (Spark,Cassandra).
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
- Any knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks etc.) and their real-world advantages/drawbacks is a big plus.
What we expect from you in return:
- High speed and uncompromising quality in your work.
- A growth mindset, able to capitalize on unprecedented contexts through your skills and abilities.
- An appetite to grapple with a variety of technical challenges.
- The ability to quickly and effectively evaluate technical tradeoffs and translate them into relevant scenarios.
- Consistent performance over time coordinated with a matching set of values.
- Strong problem-solving skills that enhance the way you deal with the tension between brief and shipping.
- Aversion to the idea of any customer or colleague struggling with what you delivered.
- High tolerance for ambiguity, marked by your ambition to push forward with incomplete information.
- Resilience, especially in front of failure, that is always paired with pioneering work.