Senior Data Engineer — Real-Time Data Platforms Lead

HITEC

Charlotte (NC)

In loco

USD 150.000 - 190.000

Tempo pieno

5 giorni fa
Candidati tra i primi

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Descrizione del lavoro

Bank of America seeks an experienced Data Engineer to drive enterprise-scale data platforms and integration solutions. You will lead design and delivery tasks across Spark/Scala, Kafka, Hadoop, Starburst, and cloud technologies, delivering robust data systems for operational and analytical needs.

The role requires expertise in real-time and batch data processing, data pipelines, and collaboration with multi-timezone teams, while mentoring others and ensuring governance and compliance across the

Competenze

  • 10+ years of experience in Data Engineering.
  • Experience with large-scale analytical platforms and distributed data processing frameworks.
  • Design and implement cloud-native data platforms using modern storage and processing technologies.
  • Hands-on experience in Scala, Spark, Kafka Streaming.
  • Strong knowledge of Hadoop components and data tooling (Informatica, Starburst).
  • Experience deploying real-time streaming and batch data integration solutions.

Mansioni

  • Assembles large, complex data sets across multiple systems to meet requirements.
  • Maintains and transforms data for operational and analytics use cases.
  • Defines data pipelines ensuring governance and release processes.
  • Leads data architecture decisions and mentor engineers in CI/CD practices.
  • Collaborates with cross-timezone teams to deliver enterprise-scale solutions.
  • Supports testing and deployment across testing and production environments.

Conoscenze

Data engineering
Spark
Scala
Kafka
Hadoop
Starburst
Cloud platforms
Data pipelines
UNIX scripting
CI/CD

Strumenti

Informatica
Starburst
Oracle SQL
Exadata

Descrizione del lavoro

Bank of America seeks an experienced Data Engineer to drive enterprise-scale data platforms and integration solutions. You will lead design and delivery tasks across Spark/Scala, Kafka, Hadoop, Starburst, and cloud technologies, delivering robust data systems for operational and analytical needs.

The role requires expertise in real-time and batch data processing, data pipelines, and collaboration with multi-timezone teams, while mentoring others and ensuring governance and compliance across the

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