engineers, developers, and data scientists that supports all aspects
of the business by implementing data-driven solutions. The tech stack
based on, but not limited to, Google Cloud Platform. We use a
combination of SQL and No
SQL-based datastores (BigQuery, FireStore, Redis, Elastic
Search) for both batch and real-time streaming data pipelines.
As a Data Quality Engineer, you will be a key part of our quickly
expanding Data Team. Right now, we?re building solutions for every
facet of the business, from customer satisfaction, to trading
efficiency, to social responsibility, all with the goal of bringing
our audiences closer than ever to the sports they love with our
best-in-class products.
If this sounds like a team you?d like to join, we want to hear from
you.
_KEY RESPONSIBILITIES_ ?
* Implement systems and procedures to maintain software quality
assurance, ensuring the release of best-in-class software. ?
* Anticipate, detect, and resolve possible issues with data systems,
which will empower other teams in the LiveScore business to deliver
the best possible experience for our customers. ?
* Join us in a fast-paced, agile environment, where we take complex
business problems, and design and implement simple, elegant solutions.
Key Skills/Experience ?
* A degree in Computer Science, Mathematics, Statistics, Physics or
equivalent experience ?
* Fluency in one or more of the following languages:
Python, JavaScript, Java, C/C++ ?
* Software quality/validation experience: designing metrics and KPIs
in order to verify our software releases are of the highest standard.
Experience developing cloud infrastructure uptime monitoring, through
dashboards & alerts would be beneficial ?
* Implemented policies and procedures to ensure the quality of the
development process ?
* Familiarity with distributed architecture and cloud platforms.
Experienced in health-monitoring of cloud services, preferably on
Google Cloud Platform, using Stackdriver/logging, and automated
alerting The Data Team is a cross-functional and diverse team of analysts,
engineers, developers, and data scientists that supports all aspects
of the business by implementing data-driven solutions. The tech stack
based on, but not limited to, Google Cloud Platform. We use a
combination of SQL and No
SQL-based datastores (BigQuery, FireStore, Redis, Elastic
Search) for both batch and real-time streaming data pipelines.
As a Data Quality Engineer, you will be a key part of our quickly
expanding Data Team. Right now, we?re building solutions for every
facet of the business, from customer satisfaction, to trading
efficiency, to social responsibility, all with the goal of bringing
our audiences closer than ever to the sports they love with our
best-in-class products.
If this sounds like a team you?d like to join, we want to hear from
you.
_KEY RESPONSIBILITIES_ ?
* Implement systems and procedures to maintain software quality
assurance, ensuring the release of best-in-class software. ?
* Anticipate, detect, and resolve possible issues with data systems,
which will empower other teams in the LiveScore business to deliver
the best possible experience for our customers. ?
* Join us in a fast-paced, agile environment, where we take complex
business problems, and design and implement simple, elegant solutions.
Key Skills/Experience ?
* A degree in Computer Science, Mathematics, Statistics, Physics or
equivalent experience ?
* Fluency in one or more of the following languages:
Python, JavaScript, Java, C/C++ ?
* Software quality/validation experience: designing metrics and KPIs
in order to verify our software releases are of the highest standard.
Experience developing cloud infrastructure uptime monitoring, through
dashboards & alerts would be beneficial ?
* Implemented policies and procedures to ensure the quality of the
development process ?
* Familiarity with distributed architecture and cloud platforms.
Experienced in health-monitoring of cloud services, preferably on
Google Cloud Platform, using Stackdriver/logging, and automated
alerting
We need : English (Good)
Type: Permanent
Payment:
Category: Others
