Nova

Senior Data Engineer

Nova

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Job Level

Senior

Tech Stack

AirflowAWSAzureBigQueryCloudETLGoogle Cloud PlatformPySparkPythonRDBMSSQLTableau

About the role

  • Maintain, enhance, and optimize existing data warehouse architecture and ETL pipelines.
  • Design and implement scalable ETL/ELT processes ensuring data quality, integrity, and timeliness.
  • Monitor and improve pipeline performance, troubleshoot issues, and implement best practices.
  • Create and maintain comprehensive documentation for data engineering processes, architecture, and configurations.
  • Partner with business teams to gather requirements and translate them into technical solutions.
  • Build and maintain PowerBI dashboards and reports that drive business decisions.
  • Develop new data models and enhance existing ones to support advanced analytics.
  • Transform complex data findings into clear, actionable insights for various departments.

Requirements

  • Programming & Query Languages: Strong proficiency in Python, SQL, and PySpark.
  • Big Data Platforms: Experience with cloud data platforms including Snowflake, BigQuery, and Databricks. Databricks experience highly preferred.
  • Orchestration Tools: Proven experience with workflow orchestration tools (Airflow preferred).
  • Cloud Platforms: Experience with AWS (preferred), Azure, or Google Cloud Platform.
  • Data Visualization: Proficiency in PowerBI (preferred) or Tableau.
  • Database Systems: Familiarity with relational database management systems (RDBMS).
  • Version Control: Proficient with Git for code management and collaboration.
  • CI/CD: Hands-on experience implementing and maintaining continuous integration/deployment pipelines.
  • Documentation: Strong ability to create clear technical documentation.
  • Professional Experience: 3+ years in data engineering or closely related roles.
  • Language Requirements: Fluent English communication skills for effective collaboration with U.S. based team members.
  • Pipeline Expertise: Demonstrated experience building and maintaining production data pipelines.