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Data Infrastructure Specialist

3 weeks ago

Pune, Maharashtra, India beBeeDataEngineer Full time ₹ 12,00,000 - ₹ 18,00,000

Job Description:

">

We are seeking a skilled Data Engineer to design, develop, and maintain scalable data pipelines and data infrastructure using cloud services.

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The ideal candidate will collaborate closely with data scientists, analysts, and stakeholders to deliver robust data solutions that support advanced analytics and business decision-making.

">
  • Design, develop, and implement scalable data pipelines leveraging cloud services.">
  • 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 cloud tools.">
  • Monitor, troubleshoot, and continuously improve existing data workflows and infrastructure.">
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Required Skills & Qualifications:

">
  • Proven experience with cloud services, especially Azure Data Factory, Synapse Analytics, and 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.">
">

Key Responsibilities:

">
  • Deliver robust data solutions that support advanced analytics and business decision-making.">
  • Collaborate closely with data scientists, analysts, and stakeholders to meet data requirements.">
  • Ensure the security, quality, and compliance of all data processes.">
  • Automate and orchestrate complex data workflows and pipelines.">
  • Monitor, troubleshoot, and continuously improve existing data workflows and infrastructure.">
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