Senior Data Engineer Real-Time Data Platforms, Spark/Kafka

Bank of America; United States; In loco; USD 140.000 - 190.000; Tempo pieno

Descrizione del lavoro

Bank of America is seeking a senior data engineer to drive enterprise data platforms and complex data solutions. The role focuses on end-to-end data delivery, from ingestion to transformation, using Spark, Kafka, Hadoop, and related technologies.

The ideal candidate has 10+ years in data engineering, experience with real-time/batch processing, and strong collaboration across global teams. This is an in-office role with potential flexibility based on responsibilities.

Competenze

• 10+ years of experience in data engineering and delivery.
• Experience with large-scale analytical platforms and distributed processing.
• Strong knowledge of real-time and batch data integration.
• Experience with cloud-native data platforms and data lakehouse concepts.

Mansioni

• Assemble large, complex data sets meeting functional/non-functional requirements.
• Maintain, clean, and manipulate large data for analytics systems and pipelines.
• Define data pipelines enabling data-informed decision making and adhere to release processes.
• Mentor data engineers and contribute to CI/CD and test automation.
• Collaborate across time zones and multiple teams to deliver deployments.

Conoscenze

Data Engineering

Spark

Kafka

Hadoop

Scala

SQL Tuning

Strumenti

Informatica

Starburst

Exadata

Descrizione del lavoro

Bank of America is seeking a senior data engineer to drive enterprise data platforms and complex data solutions. The role focuses on end-to-end data delivery, from ingestion to transformation, using Spark, Kafka, Hadoop, and related technologies.

The ideal candidate has 10+ years in data engineering, experience with real-time/batch processing, and strong collaboration across global teams. This is an in-office role with potential flexibility based on responsibilities.