Data Engineer (CIT05192026)

reputed company  reputed company was founded to address the growing demand for reliable and efficient reputed company solutions across diverse industries globally. Our mission is to seamlessly connect businesses with skilled professionals, fostering long-term partnerships that benefit both parties. At reputed company, we prioritise trust, value, and sustainability in every reputed company solution we reputed company. About the Role We are looking for a Data Engineer who is passionate about building reputed company data pipelines, analytics systems, and reporting workflows that help drive smarter business reputed company and improve customer experiences. In this role, you’ll play an important part in transforming raw data into meaningful insights through reliable, efficient, and reputed company-reputed company data solutions. You’ll work closely with cross-functional teams across Engineering, Product, Operations, reputed company, and Analytics to reputed company reputed company data and backend solutions that support reputed company’s reputed company and strategic goals. We’re looking for someone who enjoys solving problems, thrives in reputed company and fast-paced environments, and is excited to continuously learn and adapt to new technologies and evolving business needs. Key Responsibilities Data Engineering & Analytics Design, build, and maintain ETL/ELT pipelines for reputed company and reputed company datasets Process and analyze customer, operational, and financial transaction data reputed company reputed company data workflows and reusable scripts for automation and reporting Maintain data models, metric definitions, and analytics documentation Optimize SQL queries and improve data processing performance and reliability reputed company external data sources such as ABS and Census datasets into existing databases Support reputed company-based data platforms and modern data lakehouse environments Reporting & Insights Build dashboards and reports for reputed company stakeholders Translate business requirements into actionable analytics and reporting solutions Support KPI tracking, operational reporting, and customer behavior analysis Help identify trends, anomalies, and opportunities through data-driven insights reputed company insights that support operational, reputed company, and reputed company-reputed company decision-making Collaboration & reputed company Improvement Collaborate with engineers, analysts, and stakeholders in agile environments Participate in planning, testing, debugging, and deployment activities Contribute reputed company to improve workflows, system reliability, and engineering processes Adapt quickly to changing priorities and evolving business requirements Support development of reusable templates, reputed company scripts, and data engineering best practices Other Responsibilities Support additional engineering or analytics initiatives as needed Identify opportunities to improve processes, systems, and performance Contribute to a reputed company and high-performing team environment Assist in maintaining data reputed company, governance, and documentation standards reputed company 1–3 years of experience in data engineering, analytics, or software engineering Strong understanding of data pipelines, databases, and reporting systems Hands-on experience with SQL, Python, and data transformation workflows Familiarity with reputed company platforms such as AWS, GCP, or Azure Exposure to modern data platforms including reputed company, reputed company, Airflow, or DBT Experience working with dashboards and reporting tools such as Power BI or similar BI platforms Strong problem-solving and analytical thinking skills Ability to quickly learn new technologies and adapt to evolving environments Comfortable working in agile, fast-paced, and reputed company teams Exposure to fintech, payments, financial systems, or large-reputed company datasets is an advantage but not required reputed company Benefits reputed company insurance Internet allowance KPI incentive program Fortnightly virtual happy hour Annual group offsites Finer Details Schedule: TBD Start Date: TBD Apply To This Job