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Senior Data Engineer

Bluebird

Responsibilities

  • Design, build, and optimize scalable ETL/ELT pipelines using Databricks, Delta Lake, PySpark, and SQL.
  • Develop and maintain reliable data ingestion pipelines integrating data from REST and GraphQL APIs.
  • Design and evolve data models that support analytics, reporting, and AI-driven applications.
  • Monitor, troubleshoot, and optimize Databricks workloads, cluster performance, and query execution.
  • Ensure high standards for data quality, testing, documentation, and observability.
  • Collaborate closely with Software Engineering, DevOps, and Product teams to deliver scalable data solutions.
  • Mentor team members and contribute to technical best practices and

Required Skills & Qualifications

  • 5+ years of professional experience in Data Engineering.
  • Strong hands-on experience with Databricks, Apache Spark (PySpark and/or Scala), and modern lakehouse architectures.
  • Proven experience building robust data ingestion pipelines from RESTful and/or GraphQL APIs.
  • Experience designing scalable ETL/ELT workflows for cloud-native environments.
  • Familiarity with AWS services and modern infrastructure practices, including Terraform and containerized environments.
  • Strong software engineering fundamentals, including version control, testing, CI/CD, and clean coding principles.
  • Excellent analytical, problem-solving, and communication skills.
  • Good written and spoken English communication skills.
Vacancy posted a month ago
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