Transforming Data into Insights

3 days ago


Dindigul, Tamil Nadu, India beBeeDataEngineer Full time ₹ 25,00,000 - ₹ 30,00,000
Job Description

We're seeking a highly skilled Data Engineer/BI Specialist to design, build and optimize large-scale data pipelines using cutting-edge technologies like Apache Airflow, Apache Spark, Azure data services and Python programming.

  • Design and develop 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 & Qualifications
  • 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.
Benefits & What We Offer

This role offers the opportunity to work on challenging projects, collaborate with experienced professionals and contribute to the growth and success of our organization.

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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