Data Engineer, Specialist
Core
Builds scalable, secure data pipelines and database systems to process, store, and serve data for real-time and offline analytic processing, enabling business partners to generate insights and make decisions.
Role type
Senior Data Engineer (ETL & Data Pipelines)
Builds
Scalable data pipelines, database systems, and tools for real-time and batch analytic processing
Domain
Financial services / Big Data & Cloud Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
SQL, Python, Scala, Apache Spark, Hadoop, Kafka, AWS Redshift, Google Big Query, Azure Synapse, data modeling, relational databases, NoSQL databases
Preferred skills
Cloud-native ETL, regression testing, training delivery, vendor engagement
Technologies
Apache Spark, Hadoop, Kafka, AWS Redshift, Google Big Query, Azure Synapse, PostgreSQL, MySQL, MongoDB, Cassandra
Responsibilities
Write ETL processes and design database systems; troubleshoot software for data consistency; translate business specs into code; lead solution development phases; test code and software releases; conduct training sessions on tools and data sources.
Seniority
Senior, hands-on IC
