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Senior Talent Acquisition Partner @ Wipro | Recruitment, Talent Acquisition
About us:
Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading global information technology, consulting, and business process services company. Wipro started its journey in Australia over 15 years ago and with over 2,000 employees, we are committed to increase localization. We serve over 55 customers in Australia across diverse industry segments, with at least a third listed in the top 100 ASX. These include:
* Top Australian retailers, Major Key departments in Federal and State government
* Top banks & insurance firms
At Wipro, we respect and value differences. We believe in cultivating a company culture that reflects the diversity of our clients and the wider Australian community, which is why we are committed to working beyond the boundaries of region, race, sexual orientation, and gender diversity. For more information about us visit
About the role:
We are seeking a Microsoft Fabric Engineer with expertise in implementing Real-Time Intelligence solutions, particularly for time-series data processing. The ideal candidate will have hands-on experience with Azure Data Explorer (ADX) and be skilled in architecting, designing, and optimizing real-time data pipelines within Microsoft Fabric Real-Time Analytics (RTA).
Key Responsibilities
1. Implementation:
* Design and implement real-time data ingestion and processing pipelines using Microsoft Fabric Real-Time Analytics (RTA) or Azure Data Explorer (ADX).
* Develop scalable solutions for processing high-volume time-series data from IoT devices, sensors, and telemetry sources.
* Optimize data models for efficient storage, querying, and analytics in Fabric or ADX.
* Work with Kusto Query Language (KQL) to build efficient queries for time-series analysis.
* Develop connectors and integrations with event streams (IoT Hub, Event Hubs, Kafka, etc.) for real-time data ingestion.
* Implement data transformation, enrichment, and aggregation strategies for downstream analytics and dashboards.
3. Performance Optimization & Reliability:
* Tune KQL queries and ADX clusters to handle large-scale time-series data efficiently.
* Implement data retention, indexing, partitioning, and archival strategies for optimized storage and retrieval.
* Ensure high availability and fault tolerance in real-time streaming architectures.
* Enable real-time insights via Power BI, dashboards, alerts, and anomaly detection.
* Collaborate with Data Science and BI teams to support predictive analytics and machine learning on time-series data.
* Implement real-time triggers, alerts, and automated responses based on streaming insights.
Required Skills & Qualifications:
* Overall IT experience of minimum 6 years (Mandatory)
* 3+ years of experience in Microsoft Fabric, Real-Time Analytics (RTA), or Azure Data Explorer (ADX). (Mandatory)
* Strong expertise in Kusto Query Language (KQL) and ADX data modeling.
* Hands-on experience with event-driven architectures, data streaming, and IoT analytics.
* Experience integrating with Event Hubs, IoT Hub, Kafka, or other real-time data sources.
* Knowledge of time-series data processing techniques, downsampling, and anomaly detection.
* Familiarity with Microsoft Synapse, Power BI, Databricks, or other analytics platforms.
What can we offer you?
Enjoy a flexible working culture, half yearly progression reviews and FREE ongoing training to help you reach your full potential and more…
HOW TO APPLY?
Apply now if you fit the profile. Salary is open for discussion. Submit your interest by applying now.
With Regards
Sushant
Please note Visa cannot be sponsored for this position. All applicants must have valid work permit to be considered for this position.
We are an Equal Opportunity, Affirmative Action employer. Minorities, women, veterans and individuals with disabilities are encouraged to apply.
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
* Job function
Research, Analyst, and Information Technology
* Industries
IT Services and IT Consulting
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