Job Vacancies at Derivco

• This is your opportunity to be part of the leading software house in the online gaming world. In our space, passionate, innovative and incredibly awesome teams create the best technology in the field, and each day is a chance to level up.
• Implementing, maintaining, and supporting small-sized networks, ensuring the integrity of high-availability network infrastructure that provides maximum performance to the business.

Accountable for

Network Design & Planning

• Estimating effort required for own work with support from seniors.

Network Implementation

• Track and ensure delivery of network components.
• Configuration and testing new network solutions in alignment with proof of concept.
• Maintaining reporting systems to enable network management.
• Document solution as implemented.
• Escalation of risks that may compromise on-time and quality delivery.

Network support, maintenance, and enhancements.

• Resolve or escalate network incidents promptly across all network solutions and keep internal & external stakeholders informed of progress.
• Performs well defined production system configuration and upgrade changes according to change management

Knowledge Practices and Improvements

• Identifies issues, risks and improvement opportunities related to team processes.
• Estimating effort required for own work
• Deliver according to the team's processes, measures, tools, technology and standards according to the company's network engineering practices.
• Staying abreast with industry technology developments and provides input into improvement of the team's network solutions practices

Technical Competencies

Network design and maintenance

• Knowledge of network configuration and protocols.
• Basic knowledge of network security and network-related risks including network vulnerability remediation
• Knows and applies the documentation standards with guidance.
• Skilled in system health and monitoring tools.
• Understands reasoning behind the network design and how the current implementation meets those standards

SERVICE MANAGEMENT

• Knows the process and the service level standards when dealing with incidents, problems or changes.
• Skilled in troubleshooting and identifying effective fixes for assigned incident

Behavioral Competencies

PROBLEM-SOLVING AND DECISION-MAKING

• Investigates and solve problems by following a predefined agreed process or known solutions.
• Knows what problems should be solved independently and when to escalate to more senior team members.
• Participates in problem-solving discussions.

INNOVATE AND IMPROVE

• Looks for ways to improve or innovate.
• Willing to learn and try new or different ways to complete required tasks.
• Provides feedback on the impact of changed processes/method

DRIVE (RESULTS ORIENTATION)

• Displays care in delivering assigned work.
• Follows through on commitments, maintaining agreed quality and productivity standards.

TEAMWORK AND COLLABORATION

• Share information and collaborate with the team to support the achievement of team goals.
• Be dedicated to meeting commitments made to team members.
• Help others in the team when they are stuck.
• Support decisions made by the team

Requirements

Qualifications

• Minimum: relevant diploma/degree
• Recognition of adequate experience

Experience

• Minimum: 1 - 2 years of networking experience

Certifications

• Minimum: relevant certification - CCNA or equivalent networking certification i.e. JNCIA

go to method of application »

• As a Data Engineer, you will be tasked to simplify access to the services and resources, governing and maintaining a Data Lake platform as well as designing and implementing data solutions that collect, process, store and transform raw, unstructured data into formats that can be consumed by downstream teams.

Key Responsibilities

• Work as part of an agile data engineering team
• Ensure that data systems meet the company’s regulatory commitments, and that data is reliable and efficient
• Support best business capabilities for high performance database solutioning.
• Actively participate in team, cross-discipline and vendor-driven collaboration sessions or forums to increase understanding of the working environment by contribution and participation in the relevant Data Governance Frameworks
• Partner with Technology, Business and other stakeholders to ensure that database structures, programmes and applications meet business delivery requirements.
• Monitor adherence to processes which support the prescribed data architectural frameworks and ensure development/delivery teams align to the required standards and methodologies

Design and implement scalable end-to-end database solutions including:

• addressing issues of data migration i.e. validation, clean-up and mapping and consistently apply data dictionaries
• data cleanse using databricks
• component design and development
• identification and resolution of production and application development constraints
• integration of new technologies and software into the existing landscape
• development data set processes for data modelling, mining and production
• optimal utilization of big data
• documentation management and disaster recovery

Key Skills

In depth knowledge and understanding of:

• Azure Databricks
• Data governance and data management frameworks
• BI and Warehouse design
• Movement of data into the Cloud using the following tools Apache Kafka, Storm, Flume for ingesting data or Amazon Web Services (AWS) Cloud Development Kit (CDK)
• Operating with real-time streams, data warehouse queries, JSON, CSV, raw data
• Scripting Data Pipelines for scheduled movement of data
• Designing and developing ETL/ELT processes and data pipelines Experience working with Azure DevOps
• Data visualization including PowerBI / Tableau
• Exploratory Data Analysis - EDA

Qualifications

• Relevant 3-year tertiary qualification BSC In Computer Science / Information Systems
• 4+ Years Senior Data Engineering experience

Additional Requirements

• SQL
• Microsoft SQL Server
• NoSQL
• Microsoft SQL Server
• Python (PySpark)
• C# , Json- calling APIs
• PowerShell
• Apache Spark
• Kafka
• Scala
• Splunk
• Elk Stack
• Data Modelling
• Data warehousing solutions
• Data pipelines
• Data Cleansing
• Terraform