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About the role
What you bring in: 6+ years of hands-on experience in data engineering and large-scale distributed systems Proven expertise in building and maintaining complex ETL/ELT pipelines Deep knowledge of orchestration frameworks (e.g., Airflow), and workflow optimization Strong cloud infrastructure experience (GCP preferred; AWS or Azure also relevant) Expert-level programming in Python or Scala; solid understanding of Spark internals Experience with CI/CD tools (e.g., Jenkins, GitHub Actions) and infrastructure as code Familiarity with managing self-hosted tools like Spark or Airflow on Kubernetes Experience managing data warehouse in BigQuery or Redshift Strong communication skills and a proactive, problem-solving mindset
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