Senior Data Warehouse Engineer

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Anywhere
Workplace: RemoteFull timeUSD 152,000 - 205,000 annuallyFunction: Supply Chain & LogisticsSkills: ["Collaboration","Ownership","Autonomy","Communication","Problem-solving"]

Build and optimize scalable, high-performance data warehouse solutions that power analytics and operational excellence. Design reliable ELT pipelines and data modeling workflows with strong data quality. Tune warehouse performance through indexing, partitioning, and query optimization, while partnering with analysts and data scientists to turn raw data into actionable insights. Work with modern cloud data infrastructure and developer-facing data tools.

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FursaFursa
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2 days ago

Senior Data Warehouse Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Build and optimize scalable, high-performance data warehouse solutions that power analytics and operational excellence. Design reliable ELT pipelines and data modeling workflows with strong data quality. Tune warehouse performance through indexing, partitioning, and query optimization, while partnering with analysts and data scientists to turn raw data into actionable insights. Work with modern cloud data infrastructure and developer-facing data tools.
Location: Anywhere
Workplace: Remote
Employment Type: Full time
Job Function: Supply Chain & Logistics
Seniority: Mid level

Key Responsibilities

  • •Architect and build scalable, high-performance data warehouse solutions for analytics and operational excellence.
  • •Develop and maintain reliable, well-documented data pipelines and ELT processes, ensuring data quality and consistency.
  • •Tune and optimize data warehouse performance, including partitioning, indexing, and query optimization.
  • •Partner with data analysts and scientists to transform raw data into actionable analytics and machine learning models.
  • •Troubleshoot, monitor, and refine data warehouse infrastructure while balancing speed and cost efficiency.

Pay and Benefits

Salary: USD 152,000 - 205,000 annually

Key Requirements

  • •Design, implement, and optimize data warehouses in cloud environments (AWS, GCP, etc.).
  • •Strong hands-on data modeling and transformation experience with dbt.
  • •Excellent SQL skills and familiarity with modern columnar data warehouses such as ClickHouse, Databricks, BigQuery, or Snowflake.
  • •Experience building reliable data pipelines and ELT processes, including orchestration with tools like Prefect or Airflow.
  • •Strong collaboration and communication skills for a cross-functional, globally remote team.
Skills:CollaborationOwnershipAutonomyCommunicationProblem-solving
Languages:English
Tech Stack:ClickHouseRedshiftConfluent KafkaDbtSQLPrefectAWSTerraformApache SupersetSigmaDatabricksBigQuerySnowflakeAirflowTableauLookerBashPythonGoKafka

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

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Provides passwordless authentication and device intelligence solutions to help businesses verify users and prevent fraud. Offers passkey-based authentication, risk signals, and developer-friendly APIs to replace passwords and improve account security and user experience.
Industry: Cybersecurity
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