Data Engineer
Vito Solutions
Cape Town, WC, South Africa
3d ago

EMPLOYMENT TYPE :

Contract ( initial 6 months contract with high probability of extension )

LOCATION :

Cape Town ( during Covid 19 stages all work is conducted remotely)

JOB OVERVIEW :

The successful incumbent will be responsible for sourcing and loading a wide range of data across our business so that it can be used by analysts and developers to develop data solutions to business.

You need to understand and continuously seek techniques to ingest data and ensure a high degree of quality and confidence.

In addition, you should be able to use the technology and seek to make use of the features therein to deliver value to the business.

You will not only design and develop, but also required to coordinate with security and infrastructure as well as investigate issues, troubleshoot technical issues and devise solutions in line with best practice.

You will be responsible for a team of engineers and it will be required that you guide, assist and grow the individuals in that team.

An understanding of data management solutions and a keen sense of the strategic value of information to an organisation will be of importance.

DESCRIPTION OF THE POSITION :

Provide technical leadership to the team

Own, plan and manage the workload of the team and ensure delivery

Act as the escalation point for any issue the team is experiencing

Act in technical leadership capacity and design, develop and enhance the ingestion frameworks that can load data consistently with a high degree of confidence

Load large, complex data sets to and make data available for data engineers

Source data from internal and external data sources, engaging with technical subject matter experts

Build the infrastructure required for optimal Extraction, Transformation, and Loading (ETL) of data from a wide variety of data sources using various big data’ technologies

Identify, design, and implement internal process improvements : automating manual processes, optimising data delivery, re-designing models for greater scalability

Engage with a wide range of technical stakeholders including data scientists, business analysts, other data engineers and solutions architects

Work with data analysts and data engineers to understand the dynamic nature that is required to support the solution that needs to be built

Support data stewards to establish and enforce guidelines for data collection, quality improvements, integration and processes

Mentor Junior Data Engineers

KNOWLEDGE AND SKILLS :

Strong analytical-thinking and problem-solving abilities

Ability to collect, organize, analyse, and disseminate significant amounts of information

Strong technical and operational ability

Deadline-driven, even in pressurised and fast-paced environments

QUALIFICATIONS REQUIRED :

National Diploma in an Information Technology related discipline or Bachelor’s Degree in Computer Science, Statistics, Informatics, Information Systems or any other quantitative field (preferred)

EXPERIENCE REQUIRED :

5+ years' experience as a Data Engineer in a BI environment

Strong data modelling / engineering background with the ability to interpret business requirements and technical solutions to develop components of, or complete data models

Solid background in SQL, application and information architecture and ETL principles and procedures is required

Ability to comply to and manage data assets under a strict governance framework

Excellent SQL skills and development using SQL and procedural extensions is required.

Experience in ETL toolsets (e.g. SAP Data Services) is required

Strong Data Engineering background with a specific focus on staging high quality data

A solid background in SQL, Information Architecture and ETL procedures is required

Experience in Database technologies (e.g. SAP Hana, Cloudera, Teradata or similar) and Hadoop components including HDFS, Hive, Spark, Oozie and Impala required.

Experience with object-oriented / functional / scripting languages (e.g. Python, Unix Shell scripting, Java, Scala etc.) is required.

Understanding of data warehousing (e.g. Kimball and Vault) and Big Data engineering principles desired.

E x perience in agile development desired

Please note : If you have not heard from us within 2 weeks, please consider your application unsuccessful.

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