Unlock Scalable Data Infrastructure

3 days ago

Pune, Maharashtra, India beBeeData Full time ₹ 15,00,000 - ₹ 20,00,000
Seeking Experienced Data Engineer

We are looking for a highly skilled data engineer to join our team. As a data engineer, you will be responsible for designing, developing, and maintaining scalable data pipelines and data infrastructure using Microsoft Azure cloud services.

Key Responsibilities:

  • Design, develop, and implement scalable data pipelines leveraging Azure services such as Azure Data Factory, Synapse Analytics, Data Lake Storage, and Azure Blob Storage.
  • Integrate data from multiple sources, including on-premises systems and various cloud platforms.
  • Build and maintain data warehouses and data lakes ensuring high performance and data integrity.
  • Optimize data storage and retrieval processes for efficiency, scalability, and cost management.
  • Collaborate with cross-functional teams to gather and understand data requirements.
  • Ensure the security, quality, and compliance of all data processes according to organizational standards.
  • Automate and orchestrate complex data workflows and pipelines utilizing Azure Data Factory or similar tools.
  • Monitor, troubleshoot, and continuously improve existing data workflows and infrastructure.

Requirements:

  • Proven experience with Microsoft Azure cloud services, especially Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, and Azure Blob Storage.
  • Strong SQL skills with experience in relational and non-relational database management.
  • Programming proficiency in Python, Spark, or Scala for data processing tasks.
  • Solid understanding of data modeling, ETL/ELT processes, and data warehousing concepts.
  • Experience with data governance, security, privacy protocols, and compliance standards.
  • Knowledge of DevOps practices relevant to data engineering.
  • Azure certifications are preferred and considered a plus.
  • Familiarity with big data technologies such as HDInsight, Databricks, or Hadoop.
  • Knowledge of machine learning and advanced analytics tools is advantageous.

Benefits:

  • Competitive salary and benefits package.
  • Opportunity to work with a global team and collaborate with diverse stakeholders.
  • Professional development opportunities, including training and mentorship programs.

How to Apply:

  • Submit your resume and cover letter.
  • Provide examples of your previous work experience and accomplishments.
  • Highlight your technical skills and expertise.

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