Manager - Data Engineer

  • 40982
  • Non-Life - Data Engineer
  • |
  • United States
  • |
  • Oct 1, 2024
RESPONSIBILITIES
  • · Lead and mentor a team
  • · Align data initiatives with company goals through collaboration with senior management.
  • · Evaluate and adopt new tools to enhance data processing efficiency.
  • · Bridge the gap between technical teams and business stakeholders by translating technical concepts.
  • · Stay current with industry trends and drive innovation with cutting-edge tools.
  • · Design and optimize scalable data pipelines using SQL Server, Snowflake, and Airflow.
  • · Implement and oversee ETL processes to ensure timely, accurate data availability.
  • · Ensure data infrastructure supports data scientists and business analysts.
  • · Implement data quality frameworks for accuracy and reliability across pipelines.
  • · Develop systems to monitor data anomalies and enforce governance policies.
  • · Ensure data handling complies with regulatory and internal standards.
QUALIFICATIONS
  • · Over 5 years of data engineering experience, including at least 1 year in a leadership or management capacity.
  • · Demonstrated success in building and managing large-scale data pipelines, with proficiency in Microsoft SQL Server, Snowflake, and Airflow considered a plus.
  • · Strong proficiency in programming languages such as Python.
  • · Extensive knowledge of SQL and NoSQL databases.
  • · Expertise in cloud platforms, including AWS and Azure.
  • · Experience with big data technologies such as Hadoop and Spark
  • ->SALARY: 120-160k
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