Description

Key Responsibilities

• Design, build, and operate large-scale batch and real-time data pipelines that move, transform, and publish data across the enterprise with high reliability and low latency.
• Collaborate with Agile engineering teams to architect and implement end-to-end data solutions, from data ingestion and workflow orchestration through event streaming and downstream data delivery.

Required Qualifications

• 4+ years of experience building or operating data pipelines and orchestration systems.
• 4+ years of data or application engineering experience with Java, Python, and SQL.
• 4+ years of experience building and operating real-time or event-driven data systems.
• 4+ years of experience working with distributed data and computing technologies such as Kafka, Spark, EMR, Hadoop, or equivalent platforms.
• 4+ years of experience with cloud-based data warehousing platforms at scale.
• 4+ years of experience working with cloud platforms such as AWS, Azure, or GCP.
• 3+ years of experience with pipeline scheduling and workflow orchestration tools.
• 2+ years of experience implementing secure secrets management and credential handling in production environments.
• 2+ years of experience working in Agile engineering environments.
• Familiarity with data observability practices, including monitoring, alerting, SLA tracking, and data quality frameworks.
• Experience working in financial services or other regulated, compliance-driven industries

Key Skills

Education

Bachelor's degree