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Performanta, the global purple tribe, delivering the bedrock of quality cyber security services to our customers, enabling them to do business safely. Founded in 2009 with Offices in the UK, Ireland, SA and Australia, Performanta employees over 130 people globally with an amalgamation of over 1,000 years of experience, servicing satisfied customers in mor...
Job description
Performanta’s strategy is to become a globally recognised leader in the cyber security industry becoming a globally recognised and respected managed security services company.
Performanta requires developing the Data Engineering competency of the Data Science Division.
Job Profile:
The Data Engineer is responsible for the maintenance, improvement, cleaning, and manipulation of data in the business’s operational and analytics databases. The Data Engineer works with the software engineers, data scientists, MSS analysts and engineers to understand and aid in the implementation of database requirements, analyze performance, and troubleshoot any existent issues.
The Data Engineer must be an expert in SQL development further providing support to the Data and Analytics in database design, data flow and analysis activities. The position of the Data Engineer also plays a key role in the development and deployment of innovative big data platforms for advanced analytics and big data processing.
The Data Engineer defines and builds the data pipelines that will enable faster, better, data-informed decision-making within the business.
Objectives and Responsibilities of the Data Engineer:
Knowledge:
It is also the Data Engineers duty to keep up with industry trends and best practices, advising senior management on new and improved data engineering strategies that will drive departmental performance leading to improvement in overall improvement in data governance across the business, promoting informed decision-making, and ultimately improving overall business performance.
Required Qualifications of the Data Engineer:
Education:
The Data Engineer must have a bachelor’s degree in Computer Science, Applied Mathematics, Engineering, or any other technology related field. An equivalent of the same in working experience might also accepted for the position.
Experience:
Communication Skills:
Communication skills for the Data Engineer are non-negotiable. Communication skills will be needed in his managerial role where he has to convey messages and instructions clearly to the supporting personnel in order to ensure efficient execution of duties within the junior department.
Communication skills will also be necessary in his collaborative capacity. Due to the technical nature of the Data Engineers role, he will be required to have excellent communication skills enabling him to convey technical messages to collaborative non-technical departments and personnel, leading to a positive outcome of the Data Engineers partnerships and the overall improvement in business performance.
The Data Engineer will also be required to draft regular performance and progress reports and prepare presentation for senior data engineering management and senior data science leadership, reports that have to be clear, concise, engaging, and convincing, which will require exceptional communication skills to deliver.
MS Office/Software:
A suitable candidate for the position must also demonstrate proficiency in the use of MS Word, MS Excel, PowerPoint, and Outlook, all necessary for the creation of both visually and verbally engaging reports and presentations, for senior data science leadership.
The Data Engineer must further have demonstrated skills in SQL server reporting services, Power BI, Tableau, analysis services, Salesforce, integration services, or any other data visualization tools.
Technological Savvy/Analytical Skills:
The Data Engineer must also have exceptional analytical skills, showing fluency in the use of tools such as MySQL and strong Python, R, Shell, Java, PHP, and T-SQL programming skills. He must also be technologically adept, demonstrating strong computer skills. The candidate must additionally be capable of developing databases using SSIS packages, T-SQL, MSSQL, and MySQL scripts.
The candidate will also have an ability to design, build, and maintain the business’s ETL pipeline and data warehouse. The candidate will also demonstrate expertise in data modeling and query performance tuning on SQL Server, MySQL, Redshift, Postgres or similar platforms.
Interpersonal Skills:
A candidate for the position must also possess certain personal attributes that make him more suited for the position. The candidate must be result-driven, be an analytical and creative thinker, be an innovative problem solver, be self-motivated and proactive, be highly organized, have ability to handle-multiple and simultaneous tasks meeting aggressive deadlines, be a team player, and demonstrate an exceptional ability to stay calm and composed in the face of adversity.
People Skills:
People skills like communication skills are a necessity for this position. The Data Engineer will be an approachable and relatable individual who forms strong connections with others and inspires trust and confidence in both his juniors and seniors.
This will enable junior support personnel to follow more easily in his directives and for senior management and leadership to give credit and consideration to his insights and judgments, enabling smooth performance of his duties.
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