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.