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Data Engineer, BizTech

Data EngineerData EngineerFull TimeRemoteSeniorTeam 5,001-10,000Since 2007H1B SponsorCompany SiteLinkedIn

Location

India

Posted

71 days ago

Salary

₹3,050K - ₹4,350K / year

Seniority

Senior

Job Description

Data Engineer, BizTech

Airbnb

• Lead the design, implementation, and testing of data systems, from architecture to production. • Build batch and real-time data systems that support business needs and critical products. • Ensure data systems' quality, performance, and stability through rigorous monitoring and quality assurance practices. • Design and optimize data models to efficiently meet business and product requirements. • Collaborate with cross-functional teams, including product managers, data scientists, and engineers, to develop scalable systems and drive data-driven decisions. • Maintain strong partnerships with backend, data science, and machine learning teams to ensure seamless integration of data systems. • Contribute to long-term data strategies and influence data engineering practices across the organization. • Mentor and guide team members, fostering best practices for data quality and governance. • Advance 3rd party data integrations, enhancing frameworks for data exchange, governance, and lineage.

Job Requirements

  • 3+ years of relevant experience with a Bachelor's/Master’s degree in CS/EE
  • Extensive experience in designing, building, and operating distributed data platforms (e.g., Spark, Kafka, Flink) at a large scale.
  • Proficiency in Java, Scala, or Python, along with strong skills in data processing and SQL querying.
  • Proven track record of designing and optimizing batch and real-time data pipelines.
  • Strong collaboration skills with the ability to work with product managers, data scientists, and engineers.
  • Advanced problem-solving and analytical skills, with a focus on data quality, governance, and system reliability.
  • Excellent written and verbal communication, with the ability to influence stakeholders and convey complex technical concepts.
  • Expertise in data modeling, warehousing, and working with relational and columnar databases (e.g., PostgreSQL, MySQL, Redshift, BigQuery).
  • Experience with integrating machine learning models into data systems (preferred).
  • Strong leadership and mentorship capabilities, with experience guiding teams on best practices and technical strategies.
  • Flexible and innovative, with the ability to adopt new technologies to enhance data systems and processes.

Benefits

  • Employee Travel Credits
  • One or more equity programs
  • Bonuses/ incentives
  • Benefits

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