Data Analytics Engineer (Tableau)

Primary Duties and Responsibilities:

Responsibilities include requirements analysis, design, database and report development capabilities with a core focus on Tableau Analytics Solutions.

Previous exposure and/or a good understanding of source data analysis, data warehouse design, report building, and visualisation is key to fulfil an end-to-end role within the Business Intelligence space. The role requires experience from technical preparation, ingestion and orchestration to business report visualisation.

Required Qualifications:

• Tertiary degree, diploma, or certificate in a related field (BSc, B.IT or BCom Informatics related degrees).

Experience and Knowledge:

• 3 – 5 years’ working experience as a BI Reporting Analyst, Database Developer and/or Software Consultant.

• Working knowledge of Database design and Data analytics.

• The ideal candidate must have at least 3 to 5 years’ experience in the following technologies, tools, and disciplines:

o Tableau (Required)

o Power BI (Beneficial)

o Microsoft SQL

o Microsoft Azure Fundamentals

o Data staging, preparation, and cleansing

o Database Warehousing Methodologies and Best Practices

o Data Modelling

o Data Consolidation

Key Responsibilities:

• Business analysis and requirements gathering.

• Data analysis, design and reporting.

• Prepare analytical reports.

• Update database structures and information.

• Design and develop databases to store information for reporting.

• Document operational procedures.

• Document technical specifications or requirements.

• Provide technical support for software/technology maintenance or use.

• Data mapping and transformation.

• Migrating existing client’s deliveries to new business intelligence platform.

• Data sourcing, cleansing, transformation, analysis and reporting within a business intelligence environment.

• Develop strong team and client relationships to create an ongoing partnership with team members and various client stakeholders.

• Extensive testing of solutions to ensure high quality deliverables.

• Initiate process changes and enhancements where necessary and ensure successful implementation thereof.

• Design, develop, implement and maintain reports and dashboards using visualisation tools such as Tableau and Microsoft Power BI platforms.

Competencies:

• Critical Thinking: Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems.

• Active Learning: Understanding the implications of new information for both current and future problem-solving and decision-making.

• Systems Analysis: Determining how a system should work and how changes in conditions, operations, and the environment will affect outcomes.

• Complex Problem Solving: Identifying complex problems and reviewing related information to develop and evaluate options and implement solutions.

• Deductive Reasoning: The ability to apply general rules to specific problems to produce answers that make sense.

• Inductive Reasoning: The ability to combine pieces of information to form general rules or conclusions (includes finding a relationship among seemingly unrelated events).

• Excellent communication skills: Ability to engage with C-level stakeholders, both verbal and non-verbal and communicate a deep understanding of the business and a broad knowledge of technology and applications.

• Technical Literacy: Possess a high level of technical literacy, which helps them determine how a software solution fits into an organization’s current structure and assists in the development of specifications and requirements.

• Analytical Assessment: A high level of analysis to examine current systems and determine overall project needs and scope.

• Schedule Management: Extensive time management skills to determine development schedules and milestones and ensure that deliverables are completed on time for oneself and your team.

 

 

 

 

 

 

 

Senior Full Stack Developer

Primary Duties and Responsibilities:

The Senior Full Stack Developer will develop scalable software, interpret written requirements and work well within the community. As well as building high-performing, scalable, enterprise-grade applications.

Required Qualifications:

• Degree in Computer Science, Engineering, Informatics, BIT or other relevant field

Experience and Knowledge:

• 5 – 7 years working experience as a Software Developer

• 2 – 3 years of working as a Senior Software Developer

• Good working knowledge of development methodologies and frameworks

• Experience in developing web applications using at least one popular web framework (Angular, React, React Native)

• Experience with test-driven development and writing unit tests following industry standards/best practice

• Experience with Public Cloud & Containerisation technologies/platforms an advantage.

• Experience with DevOps an advantage

Key Responsibilities:

• Contribute in all phases of the development lifecycle

• Write well designed, testable, efficient code

• Ensure designs are in compliance with specifications

• Prepare and produce releases of software components

• Leading a team to produce quality output in an efficient manner

• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review

Tools and Techniques:

• In depth understanding of SOLID Principles

• Object Oriented Analysis and Design

• In depth knowledge experience of Design Patterns and Practices

• Have some exposure to Domain Driven Design

• Understand MSA (Microservices Architecture) and SOA (Service Oriented Architecture)

• Excellent .net and .net core knowledge using C#

• Well versed in implementing .net Web API

• Excellent in TypeScript and JavaScript

• Angular 2.0 and Up

• Familiar with Rxjs and Ngxs/NgRx

• SQL Database Design and Development

• Entity Framework Core Code first implementations

• SQL Server 2014+ and Transact-SQL (T-SQL)

• ASP.NET Model View Controller (MVC) or ASP.NET Web Forms

• Good grasp of Lambda / LINQ

• Message Queueing – E.g. MSMQ, RabbitMQ, ActiveMQ

• Strong HTML 5, CSS 3 and Bootstrap 5 capabilities

• XML and JSON

• C# Script, VB Script

• A firm understanding of Authentication and Authorisation using OAuth 2 / JWT / Identity Server

• Microsoft Visual Studio, Microsoft Visual Studio Code

• Source Control (TFS / SVN / GitHub / Azure DevOps)

Competencies:

• Critical thinking: using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems.

• Active learning: understanding the implications of new information for both current and future problem-solving and decision-making.

• Systems analysis: determining how a system should work and how changes in conditions, operations, and the environment will affect outcomes.

• Complex problem solving: identifying complex problems and reviewing related information to develop and evaluate options and implement solutions.

• Systems evaluation: identifying measures or indicators of system performance and the actions needed to improve or correct performance, relative to the goals of the system.

• Deductive reasoning: the ability to apply general rules to specific problems to produce answers that make sense.

Inductive reasoning: the ability to combine pieces of information to form general rules or conclusions (includes finding a relationship among seemingly unrelated events).

• Communication skills: ability to engage with high-level stakeholders, both verbal and non-verbal.

• Information ordering: the ability to arrange things or actions in a certain order or pattern according to a specific rule or set of rules (e.g., patterns of numbers, letters, words, pictures, mathematical operations).

• Selective attention: the ability to concentrate on a task over a period without being distracted.

 

 

 

 

 

 

 

 

Mild-Level Data Engineer

Primary Duties and Responsibilities: 

The Data Engineer will have a knack for data analysis, data manipulation and data modelling. The consultant will be responsible for understanding and driving the overall technical vision and planning of a client’s organisation and translating business needs into technical strategy.

 

Required Qualifications:

  • Tertiary degree, diploma or certificate in a related field (BSc Computer Science, B.IT or Informatics related degrees).
  • DP-203: Data Engineering on Microsoft Azure Certification.

Experience and Knowledge:

  • 5- 8years’ working experience as a Data Engineer / Database Developer.
  • Experience in data mining, large scale data modelling and business requirements gathering/analysis.
  • Understanding and working experience in data integration and transformation.
  • Experience implementing data modelling methodologies like Dimensional Modeling and / or Data Vault.
  • Working knowledge of data quality processes and master data management.
  • Experience implementing design support systems using Database Management Systems (DBMS) such as SQL Server or Oracle.
  • Proficiency in designing and implementing data integration and ETL solutions using SSIS, Azure Data Factory and / or SQL Server stored procedures.
  • Understanding of several Big Data technologies like Hadoop, MapReduce and Spark as well as event processing or message ingestion services like Kafka, Event Hub and Stream Analytics.
  • Experience in database query languages such as T-SQL, ANSI SQL, PL/SQL.
  • Some experience developing software solutions using Visual Basic, C++, C#, Java or Python.
  • Experience using SQL Server management Studio and Visual Studio.
  • Experience implementing solutions using Azure SQL databases, Azure Synapse (Previously SQL Data Warehouse), Azure Storage Accounts (Data Lake) and / or Databricks.
  • Analytical mind and business acumen
  • Additional skills in the following will be taken into consideration: Tableau, Power BI, strong math skills (e.g. statistics, algebra), Scala, Python or R.

 

Key Responsibilities:

  • Identify valuable data sources and automate collection processes.
  • Undertake preprocessing of structured and unstructured data.
  • Analyze large amounts of information to discover trends and patterns.
  • Data Modelling (Relational and Star Schema).
  • Database design.
  • Database development.
  • Data Warehouse Design – Build and Development.
  • Database Administration.
  • Database Performance Tuning and Optimisation.
  • Present information using data visualization techniques.
  • Propose solutions and strategies to business challenges.
  • Collaborate with engineering and product development teams.
  • An understanding and hands on experience on Hadoop/Spark based distributed storage and computing frameworks.
  • Real-Time analytics and batch processing.
  • Strong experience in architecting analytical applications in cloud environment such as Amazon Web Services and Microsoft Azure.

 

Competencies: 

  • Critical Thinking: Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems.
  • Active Learning: Understanding the implications of new information for both current and future problem-solving and decision-making.
  • Systems Analysis: Determining how a system should work and how changes in conditions, operations, and the environment will affect outcomes.
  • Complex Problem Solving: Identifying complex problems and reviewing related information to develop and evaluate options and implement solutions.
  • Deductive Reasoning: The ability to apply general rules to specific problems to produce answers that make sense.
  • Inductive Reasoning: The ability to combine pieces of information to form general rules or conclusions (includes finding a relationship among seemingly unrelated events).
  • Excellent communication skills: Ability to engage with C-level stakeholders, both verbal and non-verbal and communicate a deep understanding of the business and a broad knowledge of technology and applications.
  • Technical Literacy: Possess a high level of technical literacy, which helps them determine how a software solution fits into an organization’s current structure and assists in the development of specifications and requirements.
  • Analytical Assessment: A high level of analysis to examine current systems and determine overall project needs and scope.
  • Schedule Management: Extensive time management skills to determine development schedules and milestones and ensure that deliverables are completed on time for oneself and your team.
  • Team Leadership: To oversee and direct development teams throughout the project development lifecycle, experience with team leadership and motivation is essential.
  • Ability to translate strategy and strategic objectives into measurable and executable projects.
  • Experience working on large project(s) incorporating processes and procedures and standards