3 שע׳

Data Engineer

לא צויןלא צויןData EngineeringInsurance

Develop and implement data solutions in complex enterprise environments, including ETL/ELT pipelines, integrations, and data warehouse processes.

תחומי אחריות

Design, develop, and maintain ETL/ELT and data processing pipelines in high-volume environments
Develop interfaces and integration workflows for transferring data between systems
Write and optimize complex SQL queries, stored procedures, and functions
Work with data models and data warehouse structures for reporting, analytics, and business processes
Develop batch and near-real-time or real-time processes
Perform unit testing, troubleshoot issues, monitor workflows, and improve production stability and performance
Use Git, CI/CD processes, and organizational standards
Analyze requirements, identify gaps, write technical specifications, and propose solutions
Collaborate with systems analysts, QA, infrastructure, architecture, and business stakeholders
Support integration, testing, production releases, and post-deployment monitoring
Learn and implement new technologies and tools in hybrid and cloud environments

At least 2 years of experience developing data solutions and ETL/ELT processes in an enterprise environment
Strong SQL skills, including stored procedures, functions, execution plan analysis, and query optimization
Experience developing data integration, processing, and transfer workflows, including production support and troubleshooting
Experience with relational databases and practical familiarity with non-relational databases
Understanding of data modeling, including dimensional modeling, star schemas, and normalization
Ability to interpret specifications and translate requirements into implementable technical solutions
Experience analyzing requirements and/or writing technical specifications for data tasks
Experience with version control and CI/CD processes
Ability to work independently and take end-to-end ownership