Data Engineer 3

3 weeks ago


Austin, United States Ursus Inc Full time
JOB TITLE: Data Engineer 3
LOCATION: Remote
PAY RANGE: $47.00 - $57.00/hr
DURATION: 6 months
TOP 3 SKILLS:
  • Proven experience in data engineering and data asset management.
  • Proficiency in SQL, Python, and other relevant data processing languages and tools.
  • Expertise in data modeling, ETL processes, and workflow orchestration (e.g., Airflow, Databricks).

COMPANY:
Our client a Fortune 500 Software Organization is seeking a Data Engineer 3 to bring onto the team.

Job Description:
Data Asset Inventory and Assessment
  • Inventory of existing data assets; tables, dashboards, and pipelines
  • Follow requirements to pull required data to measure the current state of these assets, set up usage metrics for internal and external stakeholders.
Table Metadata
  • To improve documentation coverage for tables, including table descriptions, column definitions, and data lineage.
  • Implement a centralized metadata management system to maintain and access asset documentation.
  • Ensure that all existing and new data assets are properly documented according to established standards.
Pipeline Clean-up and Consolidation
  • Consolidate and streamline pipelines by eliminating redundancies and unnecessary elements according to the set of provided rules.
  • Clean up and restructure data tables, ensuring consistent naming conventions, data types, and schema definitions.
  • Retire or archive obsolete dashboards and workflows.
  • Implement monitoring and alerting mechanisms for critical workflows to ensure timely issue detection and resolution.
  • Set up a foundation for scalable Data Model for the Stock Business - Implement and build performant data models to solve common analytics use-cases.
Knowledge Transfer and Documentation
  • Thoroughly document the work performed, including methodologies, decisions, and any scripts or tools developed.
  • Provide comprehensive knowledge transfer to the data team, ensuring a smooth transition and the ability to maintain the optimized data environment.
Skills:
  • Proven experience in data engineering and data asset management.
  • Proficiency in SQL, Python, and other relevant data processing languages and tools.
  • Expertise in data modeling, ETL processes, and workflow orchestration (e.g., Airflow, Databricks).
  • Strong analytical and problem-solving skills.
  • Excellent communication and documentation abilities.
  • Familiarity with cloud data platforms (e.g., Azure, AWS, GCP) is a plus.

IND123
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