Cloud Data Engineer Lead

3 weeks ago


Austin, Texas, United States Unreal Gigs Full time

About Unreal Gigs

We're a dynamic company that's passionate about delivering innovative data solutions to businesses worldwide. Our mission is to empower organizations with the latest technologies to drive growth and innovation.

Job Title: Senior Data Architect

As a Senior Data Architect at Unreal Gigs, you'll play a key role in designing, developing, and optimizing our data systems to ensure fast and reliable access to large datasets.

Key Responsibilities:

  • Lead the Design and Development of Data Pipelines: Oversee the build and maintenance of robust, scalable, and efficient data pipelines to ingest, process, and store data from various sources.
  • Manage Data Warehouse Architecture: Ensure the optimal use of cloud platforms to architect and maintain data warehouses or data lakes for storing large-scale datasets.
  • Collaborate with Cross-Functional Teams: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver datasets that meet business needs.
  • Implement Data Quality and Governance Measures: Develop and implement data quality checks and monitoring systems to ensure the accuracy, completeness, and consistency of data across the pipeline.
  • Optimize Data System Performance: Ensure the performance of data systems is optimized for fast and reliable data access.
  • Automate Data Workflows: Automate data workflows, pipeline deployments, and data quality checks to minimize manual intervention.
  • Ensure Data Security and Compliance: Implement security protocols to protect sensitive data and ensure compliance with relevant regulations.

Requirements:

  • Data Engineering Expertise: Strong experience building and maintaining data pipelines, ETL processes, and data warehouses using cloud platforms.
  • Leadership and Collaboration: Proven leadership skills and ability to collaborate with cross-functional teams.
  • Technical Skills: Proficiency in languages such as Python, SQL, or Scala, and experience with data engineering tools like Apache Spark, Airflow, or Kafka.
  • Security and Compliance: Strong understanding of data governance practices, security protocols, and compliance regulations.

Benefits:

  • Competitive Salary Package
  • Comprehensive Medical Insurance
  • Paid Time Off
  • Flexible Work Schedule
  • Professional Development Opportunities


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