Big Data Engineer
Data de publicação: 13/04/2022
Data de validade do anúncio: 30/06/2022
- Localização: Luanda, Luanda
Detalhes do anúncio
| Oferta de emprego | |
| Tempo determinado | |
| Licenciatura | |
| 4-7 anos | |
| AKZ | |
| Mensal | |
| General Duties & Responsibilities ● 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 ● 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 Cloudera Hadoop, HDFS, Hive, BigQuery, 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, AWS would be plus ● Ability to work in a team ● Outstanding analytical and problem-solving skills ● 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 Job Qualifications ● Bachelor's degree in Computer Science, or related technical field, or equivalent work experience. ● 3 - 5 years of relevant work experience. ● Experience designing and implementing distributed software systems (e.g Python). ● Research or Industry experience in Big Data, Artificial Intelligence, Machine Learning (ML) models, ML infrastructure, Natural Language Processing or Deep Learning. ● Good oral and written English communication skills ● Strong grasp of established and emerging technologies, systems, platforms, and software ● Ability to organize and manage multiple priorities ● Technical curiosity - Willingness to explore and learn new technologies that are unfamiliar ● Ability to work in a fast pace delivery oriented environment ● Ability to deliver short term results while invest in long term strategic solutions ● Self-starter, and Self-motivated and able to learn independently ● Team player who is eager to help others to succeed |
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