Job description
About Teamified Teamified works with top enterprises and digital native businesses in Australia helping them build their remote teams in India, Philippines and Sri Lanka.
We pride ourselves with hiring great teams to work on exciting game changing technology.
Teamified currently has 200+ engineers, testers, product managers etc.
working across 20+ partners.
We focus on uplifting the way organisations build and manage their remote teams through great working relationships, trust, integrity, culture and hiring processes.
Additional to this we are building our own technology product offerings.
We strive to deliver the best outcomes for our customers, our partners and our people.
Job Summary: Client is a wholly owned subsidiary of the Little Group, a privately-owned group of companies that includes Port Phillip Ferries, Melbourne Jet Base and Little Real Estate, one of the largest residential property management companies in Australia.
Company Objective: Our goal is to help real estate agencies across Australia shift the paradigm in the property management industry by providing the technology needed to perfectly balance the relationship between renters, owners and property managers.
We believe we can make it possible for people to truly love renting, owning and managing properties.
And we come to work every day to make this happen.
Role: As a Data Engineer, you are responsible for Designing and implementing big data technologies through the application of high-performance computing, large scale data integration and emerging analytical platforms.
Key Responsibilities: Data Collection and Interpretation: Gather and interpret data from various sources to identify relevant information and insights Pattern and Trend Identification: Analyze data sets to identify patterns and trends, enabling informed decision-making and forecasting Insight Derivation: Derive actionable insights and forecasts from data analysis, supporting business objectives and strategies Data Quality Assessment: Assess data quality and implement remediation measures to ensure accuracy and reliability Data Mapping: Map data from different sources to facilitate integration and compatibility Report Creation and Data Visualization: Create comprehensive reports and visualize data using reporting tools to effectively communicate findings and insights Data Pipeline Management: Build and maintain data pipelines to streamline the flow of information and automate processes Process Enhancement: Identify opportunities for process enhancements and contribute to their implementation to improve efficiency and effectiveness.
Key Requirements: Proficiency in analysing large data sets and writing comprehensive reports Excellent analytical skills with the ability to identify trends, patterns, and insights from data Strong attention to detail and methodical mindset Strong problem-solving skills Intermediate understanding of databases and data models Hands-on experience with SQL database design Experience designing, developing, and publishing data ETL pipelines Exposure to Azure Data Factory (ADF) and Azure Storage Team skills and collaboration.
Desirable Skills: Understanding of reporting and data visualisation tools such as Power BI Excellent communication skills Education in Mathematics, Computer Science, or Statistics Knowledge of programming languages such as Python or C#.
Relationships: Internal Relationships: Tech Team Data Team Lead Data Engineer CX Team Customer Success Team.
Benefits: Flexibility in work hours and location, with a focus on managing energy rather than time.
Access to online learning platforms and a budget for professional development A collaborative, no-silos environment, encouraging learning and growth across teams A dynamic social culture with team lunches, social events, and opportunities for creative input Health insurance Leave Benefits Provident Fund Gratuity If you possess the required skills and are eager to contribute to our team's success, we encourage you to apply for this exciting opportunity.
Apply now! #GrowWithTeamified #TeamifyYourCareer
This job post has been translated by AI and may contain minor differences or errors.
