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Big Data Engineer
hace 4 meses
Sportserve forms part of a remarkable group of B2C sports betting and B2B sportsbook technology companies, focused on delivering first class sports betting experiences and casino products for our users worldwide.
Along with Sportion, TechSpirit, Standard Focus and Sportelligent, we are the driving force behind the world renowned sports betting company and our flagship brand, Dafabet.
Since launching our global hiring initiative, we now employ over 2,000 people worldwide, offering exciting career paths in Technology, Trading, Operations and Media.
We pride ourselves on having a diverse and international culture that embraces the global community and acts locally.
We offer office based, hybrid and remote work on permanent and consultancy contracts all over the world, making us the true global employer of choice.
What you'll be getting up to: Working across a number of business areas providing development, maintenance and support.
Working as part of a team and occasionally solo developments as the business needs arise.
Responsible for the building, deployment, and maintenance of mission critical analytics solutions that process data quickly at big data scales.
Contributes design, code, configurations, and documentation for components that manage data ingestion, real time streaming, batch processing, data extraction, transformation, and loading across multiple game franchises.
Cross-trains other team members on technologies being developed, while also continuously learning new technologies from other team members.
Interacts with engineering teams and ensures that solutions meet customer requirements in terms of functionality, performance, availability, scalability, and reliability.
Works directly with business analysts and data scientists to understand and support their use cases.
Performs development, QA, and dev-ops roles as needed to ensure total end to end responsibility of solutions.
Designing and maintaining data systems and databases; this includes fixing coding errors and other data-related problems.
Mining data from primary and secondary sources, then reorganizing said data in a format that can be easily read by either human or machine.
Using statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.
Demonstrating the significance of their work in the context of local, national, and global trends that impact both their organization and industry.
Preparing Dashboards as a Self-Service BI for executive leadership that effectively communicate trends, patterns, and predictions using relevant data.
Collaborating with programmers, engineers, and organizational leaders to identify opportunities for process improvements, recommend system modifications, and develop policies for data governance.
Creating appropriate documentation that allows stakeholders to understand the steps of the data analysis process and duplicate or replicate the analysis if necessary.
Select appropriate datasets and data representation methods.
Keep abreast of developments in the field.
Help identify probable causes and provide immediate solution during an incident.
Work within an agile environment following an agile framework.
Contribute significant ideas for making the applications better and easier to use.
Participate in cutting edge research in artificial intelligence and machine learning applications.
Contribute to engineering efforts from planning and organization to execution and delivery to solve complex, real-world engineering problems.
Skills and Experience: Bachelor's degree in Computer Science, or related technical field, or equivalent work experience.
Preferred skills in noSQL, Pig, Matlab, SAS, Java, Ruby, C++, Perl, and APIs to work with available data sources.
Evaluate and improve all aspects of our existing ETL system.
Experience with big data tools and architectures, such as BigQuery, Firestore, Mysql, Cloudera Hadoop, HDFS, Hive, Snowflake and Spark.
Experience in Python programming language and frameworks such as Flask, AIOhttp.
Understanding of data structures, data modelling and software architecture.
Advanced knowledge of SQL queries.
Working knowledge of telematics interfaces and streaming solutions (MQTT, NiFi, Kafka, etc.).
Experience with Cloud platforms such as Google cloud platform, GCP certified would be plus.
Experience in multi-threading, message queues, WebSockets.
Experience with automation of the development and test processes through CI/CD pipeline (Gitlab, SonarQube, Artifactory, Docker containers).
Intermediate knowledge of API development.
Proving track record in building high performance, highly available and scalable systems.
Excellent command of the English language - written & spoken.
**We warmly invite applications in English.
Diversity & Inclusion at Sportserve At Sportserve, we are deeply committed to fostering a diverse and inclusive workplace.
We believe in building a team that reflects a wide array of backgrounds, skills, and perspectives.
Embracing diversity not only enriches our work culture but also drives innovation and excellence.
We are proud to be an equal opportunity employer, where everyone's contribution is valued and respected.
If you're a passionate about technology and looking to start your career in an international, forward-thinking Sports Betting company, we'd love to hear from you.
Apply now to become part of our exciting journey
