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Senior Data Engineer

3 days ago 2026/10/06
Other Business Support Services
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Job description

Duties
  • Design, develop, and maintain scalable data pipelines to ingest, transform, and process data within the Google Cloud Platform (GCP) ecosystem.
  • Build and optimize cloud-native data warehouses and data lake solutions using GCP services.
  • Develop and maintain robust data models to support analytics, reporting, and operational use cases.
  • Collaborate with Data Scientists, Analysts, and Software Engineers to understand data requirements and deliver reliable data solutions.
  • Monitor, troubleshoot, and optimize data pipelines, ensuring high availability, performance, and reliability.
  • Implement data orchestration and workflow automation solutions across GCP environments.
  • Ensure data quality, consistency, governance, and security across data platforms.
  • Support the integration of data engineering solutions into business applications and services.
  • Document data engineering processes, standards, and best practices.
  • Continuously improve data platform performance, scalability, and reliability.
  • Participate in technical design discussions and contribute to data architecture decisions.
  • Mentor junior engineers and promote engineering best practices and quality standards.
Technical Requirements
  • 4+ years of experience as a Data Engineer or in a similar role.
  • Strong hands-on experience with Google Cloud Platform (GCP).
  • Experience with GCP data services, including:
    • BigQuery
    • Cloud Storage
    • Dataflow
    • Pub/Sub
    • Cloud Composer (Airflow)
    • Dataproc
    • Cloud Functions
  • Strong experience designing and developing ETL/ELT pipelines.
  • Experience with data processing frameworks such as:
    • Apache Spark
    • Apache Beam
  • Proficiency in:
    • Python
    • SQL
    • Java (preferred)
  • Strong experience with relational databases:
    • PostgreSQL
    • MySQL
  • Strong understanding of:
    • Data Modeling
    • Data Warehousing
    • Data Lakes
    • Batch Processing
    • Streaming Data Processing
  • Experience implementing workflow orchestration and automation solutions.
  • Knowledge of cloud-native architecture and distributed data systems.
  • Experience with Git and modern software development practices.
  • Strong understanding of data quality, data governance, and data security principles.
Non-Technical Requirements
  • Strong analytical and problem-solving skills.
  • Excellent communication and stakeholder management abilities.
  • Ability to collaborate effectively with cross-functional teams, including Product, Engineering, Data Science, Analytics, and Business stakeholders.
  • Experience working in Agile development environments.
  • Strong mentoring and coaching skills with the ability to support junior engineers.
  • Ability to translate business requirements into scalable technical solutions.
  • Strong ownership mindset and accountability for deliverables.
  • Ability to manage multiple priorities in a fast-paced environment.
  • Strong documentation and knowledge-sharing skills.
  • Continuous learning mindset with a passion for improving engineering excellence and operational efficiency.
  • Experience participating in technical interviews and hiring processes.
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