Qureos

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  • Location: Austin
  • Type: Direct Hire
  • Job #11503
  • Salary: $
Location Type: Hybrid

Key Responsibilities

  • Design, build, and optimize scalable data pipelines using the Databricks Lakehouse platform, ensuring reliability, performance, and governance
  • Contribute to the modernization of cloud-based data ecosystems, including architecture, modeling, security, and CI/CD automation
  • Develop and maintain ETL/ELT pipelines using Python, PySpark, Spark SQL, and notebook-based workflows
  • Orchestrate workflows using tools such as Apache Airflow or similar platforms
  • Design and optimize Delta Lake data models for performance and scalability
  • Implement and manage data governance solutions, including role-based access control (RBAC), data lineage, and secure data sharing
  • Build reusable frameworks and workflows using Databricks tools such as Workflows, Repos, and Delta Live Tables
  • Develop scalable data ingestion pipelines from APIs, databases, files, streaming platforms, and other enterprise data sources
  • Automate API ingestion and data workflows using Python and REST APIs
  • Support enterprise data governance, metadata management, and cataloging initiatives
  • Enable downstream data consumption for business intelligence, analytics, data science, and applications
  • Write and optimize complex SQL queries, stored procedures, and curated datasets for reporting and analytics
  • Support DevOps practices including automated deployments, testing, and environment configuration

Qualifications

  • 8+ years of experience designing and developing scalable data pipelines in modern data environments
  • Strong expertise in data engineering, data warehousing, and distributed data processing
  • Proven ability to lead and collaborate across cross-functional teams
  • Advanced proficiency in SQL and Python, including performance tuning and optimization
  • Hands-on experience with Azure cloud services, Databricks, and modern data platforms
  • Experience integrating data solutions with enterprise systems and tools

Preferred Experience

  • Experience working with regulated or compliance-sensitive datasets
  • Familiarity with data governance frameworks and best practices
  • Exposure to Snowflake or other modern data warehouse platforms

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