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Sr. Data Engineer

The Leading Hotels of the World
New York, USA
Full-time
Senior · 7+ years experience
Onsite
Discovered 2 weeks ago

Full Job Posting

Key Responsibilities

  • Data Engineering & Data Products
  • Design, build, and optimize data pipelines for ingestion, transformation, and delivery.
  • Develop and maintain scalable data architectures, including data lakes and data warehouses.
  • Build reliable, reusable data products and data models that support reporting, analytics, AI, machine learning, and business operations.
  • Optimize performance across data platforms and pipelines.
  • Data Quality, Standards & Reliability
  • Ensure data is clean, reliable, accessible, and available for enterprise use.
  • Apply established data governance, quality, lineage, and security standards within data engineering solutions.
  • Support the delivery of trusted and consistent enterprise data.
  • Business Partnership & Engineering Practices
  • Partner cross-functionally with business and technology teams to deliver timely, high-quality data.
  • Help define and implement best practices in DataOps and data engineering.
  • Mentor junior data engineer and promote data engineering best practices.
  • Qualifications and Skills
  • Bachelor’s degree (BS) required and 7+ years of experience in data engineering or related field
  • Deep experience with modern data platforms (e.g., Snowflake, BigQuery, Redshift, Databricks).
  • Strong experience with the AWS technology stack, including AWS Glue, Amazon S3, Amazon Redshift, and Amazon Aurora MySQL.
  • Strong hands-on experience with ETL/ELT tools and frameworks, including Spark, Airflow, and dbt.
  • Advanced proficiency in SQL and Python.
  • Experience designing and building scalable data pipelines, data models, and data products.
  • Experience with large-scale data processing and distributed systems.
  • Knowledge of data quality, lineage, performance tuning, security, and established data governance standards.
  • Strong communication skills with the ability to work cross-functionally.
  • Ability to demonstrate LHW’s performance drivers: Accountability, Adaptability, Collaboration, Curiosity, and Empathy.

Qualifications

  • Bachelor’s degree (BS) required and 7+ years of experience in data engineering or related field
  • Experience with large-scale data processing and distributed systems.

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