Description

Job Description:

We are seeking a skilled Data Engineer with at least 8 years of experience in data transformation technologies (ETL), proficiency in Apache Airflow, and hands-on experience in cloud platforms such as GCP services. Google Cloud certification is advantageous. The ideal candidate will demonstrate strong analytical and monitoring skills, along with expertise in relational and non-relational databases and complex data queries.

Key Responsibilities:

  • Develop and maintain ETL pipelines using Apache Airflow for efficient data monitoring and transformation.
  • Utilize cloud services (GCP services) to optimize data workflows, monitor dags.
  • Perform complex data queries and ensure data quality and integrity across systems.
  • Proactively manage and resolve issues related to data pipelines and databases.
  • Collaborate effectively with cross-functional teams on data-related projects.
  • Maintain high service quality through effective issue escalation and management.
  • Hands-on experience with relational and non-relational databases, including complex data queries.
  • Ability to work independently, manage workload efficiently, and deliver high-quality results.
  • Excellent communication and collaboration skills, with a global perspective in team interactions.
  • Track record of problem-solving and maintaining service excellence in data engineering roles.
  • Experience in designing and implementing data solutions in a cloud environment.

Key Skills
Education

Any Graduate

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