
Big Data Processing Expert
10 hours ago
About us : We are a technology firm that provides data transformation, cloud computing and enterprise application integration services.
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 presence in more than 50 countries.
We are seeking a highly skilled Data Engineer/BI Specialist with expertise in big data processing, cloud-based analytics, and advanced visualisation technologies.
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).
- Collaborate with cross-functional teams to gather requirements, optimize pipelines, and ensure high data quality.
- Ensure solutions follow security, compliance, and data governance best practices.
Mandatory Skills:
- Apache Airflow
- Apache Spark
- Python
- Azure Cosmos DB
- Azure Data Factory
- Azure IoT
- Azure Synapse Analytics
- Azure Data Lake
- Data bricks
- AR/VR/MR
Required Experience & Qualifications:
- 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.
Preferred Skills:
- 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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