
Cloud Computing Professional
18 hours ago
About our company : We are a leading multinational IT services and consulting firm. It provides digital transformation, cloud computing, data analytics, enterprise application integration, infrastructure management, and application development services to clients across various industries.
Our industry-specific solutions address complex business challenges by combining domain expertise with deep technical capabilities. With a global workforce of over 80,000 professionals and a presence in more than 50 countries, we cater to diverse client needs.
Job Title: Azure Data Engineer
Locations: Pan India
Experience: 10+ years
Employment Type: Contract to Hire
Work Mode : Work From Office
Notice Period : Immediate to 15 Day
Job DescriptionWe seek an experienced Data Engineer / BI Specialist who excels in big data processing, cloud-based analytics, and advanced visualisation technologies. The ideal candidate will have hands-on experience with Apache Airflow, Apache Spark, Azure data services, Python programming, and emerging technologies like IoT and AR/VR/MR.
The successful candidate will be responsible for designing, building, and optimising large-scale data pipelines and delivering insightful analytics solutions. They will also collaborate with cross-functional teams to gather requirements, optimize pipelines, and ensure high data quality.
Key Responsibilities:- Design, develop, and maintain scalable ETL/ELT pipelines using Apache Airflow, Apache Spark, Azure Data Factory, and Databricks.
- Integrate and manage structured and unstructured data from diverse sources, including Azure Cosmos DB, Azure Data Lake, and Azure Synapse Analytics.
- Implement IoT data ingestion, processing, and analytics solutions using Azure IoT services.
- Develop and deploy Python scripts for automation, data transformation, and analytics workflows.
- Create dashboards, visualizations, and reports to support data-driven decision-making (e.g., Power BI, immersive AR/VR/MR analytics).
- 5+ years of experience in data engineering, cloud analytics, or BI development.
- Strong SQL skills and experience with data modeling.
- Proficiency in distributed data processing frameworks.
- Experience working in Microsoft Azure cloud environments.
- Strong problem-solving skills and ability to work with large-scale datasets.
- Experience with AI/ML integrations into analytics pipelines.
- Familiarity with real-time data streaming solutions (Kafka, Event Hubs).
- Exposure to immersive analytics using AR/VR/MR.
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