Senior Data Engineer

atlassian

Bangalore 6 Years Exp Posted 22h ago

Job Description

  • Partner across engineering organizations to spearhead and execute high-impact, company-wide initiatives,

  • Mentor and upskill junior engineers, fostering a culture of technical excellence and continuous growth.

  • Collaborate with leadership, product engineers, program managers, and data scientists to deeply understand and prioritize business data requirements.

  • Leverage deep technical expertise to design and architect scalable, high-performance data solutions.

  • Develop, launch, and optimize highly efficient, reliable ELT/ETL pipelines capable of processing both large-scale and specialized datasets.

  • Intelligently design robust data models optimized for high-speed storage, accessibility, and downstream retrieval.

  • Implement and deploy rigorous data quality frameworks to guarantee data accuracy, freshness, and trust.

  • Maintain full technical ownership of the end-to-end data engineering lifecycle for your team's solutions.

  • Participate in the team’s on-call rotation to ensure platform stability and support operational health.

  • Partner with software engineering teams to design and build next-generation data systems that enable rapid, self-service data consumption.

Qualifications

  • A BE in Computer Science or equivalent with 6+ years of professional experience as a Data Engineer or in a similar role

  • Experience building scalable data pipelines in Spark using Airflow scheduler/executor framework or similar scheduling tools.

  • Experience with Databricks and its APIs.

  • Experience with modern databases (Redshift, Dynamo DB, Mongo DB, Postgres or similar) and data lakes.

  • Proficient in one or more programming languages such as Python/Scala and rock-solid SQL skills.

  • Champion automated builds and deployments using CICD tools like Bitbucket, Git

  • Experience working with large-scale, high-performance data processing systems (batch and streaming)

  • Experience working for SAAS companies

  • Experience with Machine Learning

  • Committed code to open source projects

    • Experience building self-service tooling and platforms

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