Senior Data Engineer

Etihad Airways

Employer Active

Posted 50 min ago

Experience

6 - 8 Years

Education

Any Graduation

Nationality

Any Nationality

Gender

Not Mentioned

Vacancy

1 Vacancy

Job Description

Roles & Responsibilities

Accountabilities

  • Treat the data platform as a core product, ensuring scalability, reliability, and innovation.
  • Collaborate with Architecture on the development and prioritization of the Databricks based platform roadmap.
  • Integrate new services such as Delta Lake, Unity Catalog, and DLT into the platform ecosystem.
  • Prepare and maintain documentation for Databricks workflows, CI/CD pipelines, and infrastructure automation.
  • Partner with stakeholders to resolve platform related technical issues and identify areas for improvement.
  • Implement internal process improvements: automate ingestion with Autoloader, optimize streaming with Structured Streaming, and enforce data quality with DQX.
  • Adopt Agile and DevOps practices, ensuring CI/CD pipelines and Terraform based infrastructure are production ready.
  • Provide operational support for Databricks clusters, jobs, and pipelines.
  • Perform fallout & impact analysis, ensure recovery of impacted transactions, and provide business impact reports for production incidents.
  • Propose new ideas and technologies to foster continuous improvement and enhance user experience.
  • Define, share, and drive adoption of best practices for DataOps and cloud native data engineering.

Desired Candidate Profile

Education & Experience

  • 6+ years of experience as a Data/Platform Engineer, with proven expertise in Databricks and modern data lakehouse architectures.
  • Graduate degree in Computer Science, Information Systems, or a related quantitative field.
  • Hands on knowledge of PySpark, Structured Streaming, Autoloader, DQX, and Databricks workflows.
  • Strong experience with CI/CD pipelines, Terraform, DevOps, and DataOps practices.
  • Ability to troubleshoot and solve complex problems across distributed data systems.
  • Experience working with Linux, shell scripting, public cloud platforms, and big data technologies.
  • Strong communication skills and experience collaborating with cross functional teams in Agile environments.
  • Ability to work independently with minimal supervision and eagerness to learn new technologies.

Company Industry

Department / Functional Area

Keywords

  • Senior Data Engineer

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