jobapplier

Data Engineer

Centerfield

Skills

Required

  • ETL
  • S3
  • SQS
  • Redshift
  • Performance-tuning
  • Talend / SSIS / Informatica
  • Amazon Web Services
  • DocumentDB
  • Data organization
  • ELT processes

Preferred

  • Google Cloud Bucket
  • Cloud Data Fusion
  • BigQuery
  • Platform
  • Google Analytics
  • BI
  • Java
  • Python
  • MongoDB
  • DynamoDB

Join Centerfield as a Data Engineer and play a crucial role in designing and implementing our specialized data collection infrastructure. You will troubleshoot technical defects, implement maintenance strategies, and work with stakeholders to deliver the necessary BI, data warehousing, reporting, and analytical infrastructure. You will own problems from end-to-end, collecting, extracting, and cleaning data. Enjoy benefits such as semi-annual bonuses, flexible PTO, and health, vision, and dental benefits.

About Centerfield

  • Designing resilient data pipelines
  • USD 100,000 - 130,000

Responsibilities

  • Conception et mise en œuvre d'une infrastructure de collecte de données spécialisée pour soutenir l'architecture de données de l'entreprise.
  • Collaboration avec les parties prenantes pour fournir l'infrastructure BI, d'entreposage de données, de reporting et d'analyse nécessaire.
  • Résolution des problèmes techniques, recherche des causes profondes et mise en œuvre de stratégies de maintenance technique.

Real-time streaming implementation and architecture

  • Java and Python and their respective build and packaging systems
  • AWS and GCP technologies, including S3, SQS, Redshift, Kinesis, Google Cloud Bucket, Cloud Data Fusion, and BigQuery
  • Building reports and data visualization with BI tools such as Tableau or Power BI
  • NoSQL databases such as MongoDB, DynamoDB, Druid, Hive, and Presto

Requirements

  • Three (3) years of experience in the position offered, as a Data Engineer, BI Engineer, Data Warehousing Engineer, or related occupation
  • Bachelor’s degree or foreign equivalent in Computer Science, Computer Engineering, or a related field
  • Performance-tuning techniques
  • ETL tools such as Talend, SSIS, or Informatica
  • Amazon Web Services, including S3, SQS, Redshift, and DocumentDB
  • Experience with the following:
  • Data organization and ETL / ELT processes

Preferred

  • Google Cloud Platform, including Google Cloud Bucket, Cloud Data Fusion, BigQuery, and Google Analytics