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Urgent! Cloud Data Engineer Lead Job Opening In Dubai – Now Hiring beBeeDataEngineer

Cloud Data Engineer Lead



Job description

Job Title:

Sr. Cloud Data Engineer Lead

Description:

We seek a seasoned data professional to drive the development and maintenance of our cloud-native data platform.

The ideal candidate will possess extensive experience in designing, building, and optimizing large-scale cloud-based data systems.

  • Take ownership of the existing enterprise data lake platform, ensuring scalability, reliability, and performance.

  • Lead the design, architecture, and implementation of cloud-native data solutions and integrations.

  • Manage and optimize data ingestion pipelines on Oracle OCI, using tools such as Apache NiFi, Kafka, Batch Processing of data, Data captures, and or CSV.

  • Design and implement pipelines for network data ingestion and file formats (e.g., Parquet, Avro, OCR, etc.), ensuring efficient storage, processing, and retrieval.

  • Build, configure, and tune query engines such as Trino (Presto), Spark, and Hive for efficient analytics and reporting.

  • Implement and maintain metadata management, data governance, and security frameworks.

  • Monitor and troubleshoot system performance, ensuring SLAs are met for ingestion, processing, and query workloads.

  • Automate platform deployment, monitoring, and maintenance with Infrastructure-as-Code (Terraform, CloudFormation, etc.).

  • Collaborate with data engineers, analysts, and business teams to understand data requirements and deliver solutions that maximize data accessibility and usability.

Maintain the data platform up-to-date with the latest open-source and cloud-agnostic technologies, implementing upgrades and enhancements where needed.

Requirements:

To be successful in this role, you must have:

  • A minimum of 5 years of hands-on experience in designing, building, and optimizing large-scale cloud-based data systems.

  • Strong expertise in cloud architecture, including AWS, Azure, Google Cloud, and/or Oracle Cloud Infrastructure.

  • Experience with data ingestion, processing, and analytics tools, including Apache NiFi, Kafka, Trino (Presto), Spark, and Hive.

  • Knowledge of metadata management, data governance, and security frameworks.

  • Ability to automate platform deployment, monitoring, and maintenance using Infrastructure-as-Code tools.

  • Familiarity with Agile development methodologies and version control systems like Git.

  • Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.

What We Offer:

In return for your expertise, we offer a competitive compensation package, opportunities for career growth and professional development, and a dynamic work environment that values innovation and teamwork.

How to Apply:

If you are a motivated and experienced data professional looking to take on a challenging leadership role, please submit your application, including your resume and a cover letter outlining your qualifications and experience.


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