Senior Data Engineer

Posted 19ds ago

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Job Description

Data Engineer scaling and maintaining corporate data infrastructure for a global mobility-as-a-service company. Collaborating with cross-functional teams to drive data-informed decisions across HR functions.

Responsibilities:

  • Design, build, and maintain scalable data infrastructure to support analytics and reporting across the organization.
  • Develop and operate ETL pipelines to ingest, transform, and deliver large-scale datasets.
  • Work with distributed data processing frameworks such as Spark, Hive, or similar MPP architectures.
  • Use SQL and data modeling techniques to structure and optimize datasets for analytics use cases.
  • Process and analyze large volumes of structured and semi-structured data using tools such as Spark and Presto.
  • Write production-quality code using Python, Java, Scala, or Go.
  • Ensure data reliability and availability, operating and monitoring hundreds of ETL pipelines with strict SLAs.
  • Investigate and resolve complex data issues, including root-cause analysis of pipeline failures or data inconsistencies.
  • Partner closely with Data Analysts and cross-functional stakeholders to provide reliable datasets and guide them in using data effectively.
  • Troubleshoot data issues in dashboarding tools (e.g., Tableau, Power BI, MicroStrategy) and propose solutions.

Requirements:

  • 5+ years of experience in Data Engineering, building and maintaining data infrastructure and pipelines.
  • Strong expertise in SQL, including joins, aggregations, unions, and window functions.
  • Hands-on experience with data modeling and schema design for analytical systems.
  • Experience building ETL pipelines using Airflow or similar orchestration tools.
  • Experience with Big Data ecosystems, including Hadoop, Hive, Spark, or related technologies.
  • Programming experience in Python, Java, Scala, or Go.
  • Familiarity with UNIX/Linux environments and shell scripting.
  • Understanding of software engineering best practices, including testing, monitoring, and documentation.
  • Strong collaboration and communication skills when working with analysts and cross-functional stakeholders.
  • Ability to troubleshoot and resolve data issues across pipelines and BI tools.

Benefits:

  • 100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.
  • Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings.
  • Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed.
  • Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.
  • Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.