Data Engineering Specialist

15 hours ago

Mount Abu, Rajasthan, India beBeeDataEngineering Full time ₹ 1,80,00,000 - ₹ 2,20,00,000

About Data Engineering Roles:

Data engineering is a critical component of modern data-driven organizations. It involves designing, building, and maintaining the infrastructure that enables the collection, processing, and storage of large-scale data sets.

Job Overview:

We are seeking a highly skilled data engineer to join our team. The ideal candidate will have hands-on experience with big data processing, cloud-based analytics, and advanced visualization technologies.

Key Responsibilities:

  • Design and Develop Scalable ETL/ELT Pipelines: Utilize Apache Airflow, Apache Spark, Azure Data Factory, and Databricks to create efficient and reliable data pipelines.
  • Integrate and Manage Structured and Unstructured Data: Integrate data from diverse sources including Azure Cosmos DB, Azure Data Lake, and Azure Synapse Analytics.
  • Implement IoT Data Ingestion, Processing, and Analytics Solutions: Use Azure IoT services to develop end-to-end IoT data solutions.
  • Develop and Deploy Python Scripts: Automate tasks, transform data, and create analytics workflows using Python.
  • Create Dashboards and Visualizations: Develop interactive dashboards and reports using Power BI and immersive AR/VR/MR analytics.
  • Collaborate with Cross-Functional Teams: Work closely with teams to gather requirements, optimize pipelines, and ensure high data quality.
  • Ensure Security and Compliance: Ensure that all solutions adhere to 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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