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Cloud Data Engineer

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Data Ingestion is a critical component of data-driven organizations. As a Data Ingestion Engineer, you will play a key role in designing and developing pipelines that efficiently collect and process large amounts of data from various sources.

Key Responsibilities:
  • Develop and implement scalable data ingestion pipelines using Databricks.
  • Design and deploy continuous integration and delivery (CI/CD) pipelines for data workflows.
  • Collaborate with cross-functional teams to ensure seamless data ingestion and processing.
  • Evaluate and optimize data quality, security, and compliance throughout the ingestion process.
  • Troubleshoot and optimize ingestion pipelines for performance and scalability.

Required Skills & Qualifications:

  • Proven experience in data ingestion, pipeline development, and cloud-based technologies.
  • Familiarity with container orchestration tools like Kubernetes.
  • Strong knowledge of data lake architectures and Spark.
  • Proficiency in Python, Scala, or SQL for data processing.
  • Familiarity with cloud platforms such as AWS, Azure, or GCP.
  • Strong problem-solving and analytical skills.

Benefits:

  • Opportunity to work on cutting-edge technologies and innovative projects.
  • Collaborative and dynamic work environment.
  • Professional growth and development opportunities.

Others:

  • Experience working with big data technologies and ETL processes.
  • Familiarity with DevOps practices and CI/CD pipelines.