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Senior Data Engineer (P50) — Reliability Process Group (RPG)

Atlassian
Bengaluru, IND
Full-time
Senior · 5+ years experience
Onsite
Discovered 2 days ago
PythonSQLDatabricksApache SparkdbtAirflow
Free

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Minimum Requirements:

  • 5+ years of experience in a Data Engineering role with proven success building and operating production data platforms at scale.
  • Strong programming & scripting skills in Python, with a solid grasp of software engineering fundamentals (OOP, testing, modular code, CI/CD).
  • Expert SQL & data modeling skills , including dimensional modeling, query tuning, partition management, and schema design.
  • Hands-on experience with modern Big Data ecosystems & orchestration: Databricks / Apache Spark, dbt, and workflow schedulers (e.g., Airflow / Bitbucket Pipelines).
  • Cloud Infrastructure experience: Familiarity with AWS or GCP data services and storage primitives.
  • Data Quality & Observability mindset: Experience writing automated data validation checks, monitoring pipeline health, and configuring alert thresholds.
  • Strong communication & stakeholder skills: Ability to navigate ambiguity, translate business/reliability requirements into technical specifications, and document system architecture.

Preferred / Nice-to-Have Qualifications:

  • Experience with internal Atlassian data infrastructure (Socrates pipelines, Compass, Teamwork Graph, Jira/OpsGenie APIs).
  • Experience with BI and visualization tools (e.g., Tableau workbook optimization, custom SQL extracts, incremental refreshes).
  • Experience with table formats such as Delta Lake or Apache Iceberg.
  • Background in Site Reliability Engineering (SRE), incident management data, or telemetry/observability domains.

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