Staff Data Engineer
Core
Design and build end-to-end data-centric solutions, ETL strategies, and data warehousing architectures to support business objectives and data analytics capabilities.
Role type
Staff Data Engineer (Analytics & Data Warehousing)
Builds
Data staging, architecture, and consumption patterns for internal and external application interfaces
Domain
Financial Services / Big Data / Cloud Ecosystem
Deliverable
production ML models
Required skills
Big Data platforms (Spark, Hadoop), Scala, Python, ETL pipeline development, AWS cloud services, Oracle SQL/PL-SQL, Teradata, Cloudera Hadoop, UNIX Shell Scripting
Preferred skills
AI/GenAI application development, Langchain, Llama, Hugging Face, Abinitio tools (GDE, Express-IT)
Technologies
Apache Spark, Hive, AWS, Oracle, Teradata, Cloudera, Tableau, OBIEE, SAS, Abinitio
Responsibilities
Define and execute ETL strategy and technical solutions; design data architecture and consumption patterns; build end-to-end data pipelines; collaborate with business and infrastructure teams; apply industry best practices to ensure robust, secure, and highly available solutions; lead agile project lifecycles.
Seniority
Staff, hands-on IC with strategic influence
