Azure Data Engineer

0 years

0 Lacs

Posted:12 hours ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

Company:IT Services Organization

Key Skills:

Roles and Responsibilities:

  • Develop and maintain scalable data processing systems using Apache Spark and Azure Databricks.
  • Implement data integration from various sources including RDBMS, ERP systems, and files.
  • Design and optimize SQL queries, stored procedures, and relational schemas.
  • Build stream-processing systems using technologies such as Apache Storm or Spark-Streaming.
  • Utilize messaging systems like Kafka or RabbitMQ for data ingestion.
  • Ensure performance tuning of Spark jobs for optimal efficiency.
  • Collaborate with cross-functional teams to deliver high-quality data solutions.
  • Lead and mentor a team of data engineers, fostering a culture of continuous improvement and Agile practices.

Skills Required:

  • Proficient in Apache Spark and Azure Databricks
  • Strong experience with Azure ecosystem and Python
  • Working knowledge of Pyspark (Nice-to-Have)
  • Experience in data integration from varied sources
  • Expertise in SQL optimization and stream-processing systems
  • Familiarity with Kafka or RabbitMQ
  • Ability to lead and mentor engineering teams
  • Strong understanding of distributed computing principles

Education:

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