Big Data Engineer in Barcelona

Softonic

Salary
Undisclosed salary
Workplace
Onsite
Hours
Full-Time
Internship
No
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Job Description

Softonic is the leading global software discovery destination, offering our audience solutions through the world's most complete selection of software and apps.

With thousands of titles across hundreds of categories, Softonic connects our users with a huge community of developers providing innovative software and apps for any need.

Softonic is the European company with one of the largest online audiences, and currently holds 40th position worldwide with more than 100 million unique monthly users who generate more than 4 million daily downloads. Based in Barcelona, Spain, Softonic also has offices in Madrid and San Francisco.

Offer description

We are looking for a BI Big Data Engineer to join our Data Team to work in big data projects, working with massive amounts of data coming from different sources and helping the company to grow its data infrastructure.

 

You’ll be working with Business Intelligence and Data Science teams to create a data lake with all user information to support Machine Learning, Personalization and Predictive Analytics projects to improve our business and user engagement.

 

Key responsibilities

Guide the full lifecycle of a Hadoop solution, including requirements analysis, platform selection, technical architecture design, application design and development, testing, and deployment.

Coordinate with product departments to define tracking needs to ensure data integrity in big data platform.

Help product owners develop strategies that maximize the value of their data.

Gather and process raw data at scale (including writing scripts, calling APIs, write SQL queries, etc.).

Understand how data flows within various systems to ensure data is organized properly for reporting and analytics.

Support business decisions with ad hoc analysis as needed.

Requirements

 

Mininum experience and qualifications

Expert in Big Data tools, Hadoop and related subprojects (Hive, Pig, Mahout, HBase, …).

Knowledge of Cloud computing platforms such as AWS or Google Cloud.

Familiarity with machine learning, data mining and predictive analytics.

Programming skills in Data Science tools (Python, R…).

Strong problem solving skills.

Positive and proactive attitude.

 

Preferred qualifications

Experience building machine learning systems using big data.

Web analytics knowledge.

Experience in online business.


 

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