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Senior Data Engineer

Senior Data Engineer

nezda global
Fresher
Not Disclosed
  • Posted 16 hours ago
  • Be among the first 10 applicants

Job Description

Are you an experienced Data Engineer looking for a fully remote night-shift role that offers competitive pay, great allowances, and an extensive benefits package We are currently hiring Senior and Lead Data Engineers to drive enterprise-level data solutions.

About the Company

We are a dynamic, growth-focused technology organization dedicated to building modern data architectures and delivering high-impact analytical solutions. We foster an inclusive, high-performing environment that rewards performance and prioritizes employee well-being.

About the Role

As a Senior or Lead Data Engineer, you will be responsible for building, optimizing, and supporting data pipelines and data solutions across cloud platforms. You will work closely with cross-functional teams to leverage state-of-the-art cloud tools and ensure seamless data ecosystem performance.

Key Responsibilities

  • Design, construct, and maintain scalable data pipelines and backend data infrastructure.
  • Implement and manage cloud-based data workflows using Microsoft Azure, Databricks, and Microsoft Fabric.
  • Collaborate with engineering and product teams to refine operational efficiency and resolve data engineering challenges.
  • (Lead level) Provide technical leadership, architectural guidance, and mentorship across engineering initiatives.

Must-Have Qualifications

  • Proven hands-on experience in Data Engineering.
  • Demonstrated expertise in Microsoft Azure, Databricks, and Microsoft Fabric.
  • Willingness to work a full remote schedule on a 5:00 PM – 2:00 AM, Monday to Friday shift.
  • Based in the Philippines.

Good-to-Have

  • Relevant Microsoft or Databricks certifications (e.g., Azure Data Engineer Associate).
  • Experience leading or mentoring junior data engineers.

How to Apply

Click Apply Now or submit your updated CV directly on LinkedIn to start your application process.

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snowflake , Java, PostgreSQL, Sql, Apache Airflow, Rest Services, MySQL, Elasticsearch, Apache Kafka, Spark, Databricks, MongoDB, Python, AWS, Data lakes, Lakehouse patterns, Flink