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Diverse Lynx

Data Engineer

  • +1
  • +9
  • US
    Arizona, United States
Manifester de l'intérêt pour ce poste
  • +1
  • +9
  • US
    Arizona, United States

À propos

Role: Data Engineer Location: Phoenix, AZ- Day 1 onsite Duration: Full Time Job Description Job Title-Data Engineer Relevant Experience(in yrs)-8+ years

Technical/Functional Skills

  1. Strong proficiency in SQL and database technologies
  2. Familiarity with data warehousing and data modelling concepts
  3. Hands-on experience with Google Cloud Platform (GCP) tools such as Big Query, Cloud Storage, Dataproc, Dataflow, Pub/Sub, and Bigtable
  4. Experience with big data technologies such as Hadoop, Spark, Hive, Kafka etc
  5. Familiarity with data warehousing and ETL tools such as Amazon Redshift, Google BigQuery, or Apache Airflow
  6. Knowledge of Airflow and CI/CD pipelines
  7. Exposure to data visualization tools such as Looker, PowerBI, Tableau etc Roles & Responsibilities • Design, develop, and maintain data architectures and infrastructure • Collaborating with cross-functional teams to understand complex data requirements and deliver efficient solutions • Design, build, and maintain data pipelines to support data ingestion, ETL, and storage • Monitor, troubleshoot, and improve the performance and reliability of data systems. • Monitor BigQuery usage and manage cost-effective scaling of resources. • Develop and maintain data models to support analytics and reporting

    Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.

Compétences idéales

  • SQL
  • Google Cloud Platform
  • Hadoop
  • Spark
  • Hive
  • Kafka
  • Google BigQuery
  • Looker
  • Tableau
  • Arizona, United States

Expérience professionnelle

  • Data Engineer

Compétences linguistiques

  • English