Cloud Data Architect Specialist

1 week ago

India beBeeDataEngineer Full time US$ 15,00,000 - US$ 20,00,000

Unlock the Power of Cloud Data Engineering

At the heart of every successful organization lies a robust data infrastructure.

Key Responsibilities:
  • Design and Development:
    • Develop scalable ETL pipelines using cloud-native tools, ensuring seamless integration with diverse data sources.
    • Architect and implement data lakes and data warehouses on cloud platforms, optimizing data processing and analytics capabilities.
    • Deliver high-performance data ingestion, transformation, and loading processes, leveraging Spark Scala for complex data processing tasks.
    • Implement efficient ETL processes, streamlining data flows and minimizing latency.
    • Optimize data processing jobs using Spark Scala, driving business insights and decision-making.
  • Data Integration and Management:
    • Integrate multiple data sources into the data lake, maintaining data consistency and integrity.
    • Ensure data quality through rigorous testing and validation, preventing data errors and inaccuracies.
    • Perform data extraction when necessary, preserving data fidelity and compliance.
  • Performance Optimization:
    • Monitor and optimize the performance of data pipelines and ETL processes, enhancing data delivery and speed.
    • Implement best practices for data management, encompassing data governance, security, and regulatory compliance.
  • Collaboration and Communication:
    • Work closely with stakeholders to understand data requirements, delivering tailored solutions and expertise.
    • Collaborate with cross-functional teams to design and implement data solutions, fostering a culture of collaboration and innovation.
  • Documentation and Maintenance:
    • Document technical solutions, processes, and workflows, ensuring knowledge retention and scalability.
    • Maintain and troubleshoot existing ETL pipelines and data integrations, guaranteeing data continuity and reliability.

Our ideal candidate boasts 7+ years of experience as a Data Engineer or in a similar role, boasting a strong background in AWS, Azure, and GCP. They should possess hands-on experience with cloud-native ETL tools, various data platforms, and Spark and Scala for data processing.

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