Data Analyst
Core
Design, develop, and maintain scalable ETL/ELT pipelines and data processing solutions to ensure data availability, accuracy, and reliability for enterprise analytics.
Role type
Data Engineer (ETL/ELT focus)
Builds
Scalable data pipelines, batch and real-time data processing solutions
Domain
Financial services / Data Engineering
Deliverable
production ML models | infrastructure
Required skills
SQL, Python, ETL/ELT design, data modeling, database design, performance optimization, data quality frameworks, CI/CD, version control
Preferred skills
PySpark, Apache Spark, Hadoop ecosystem, GitLab, Jenkins, Power BI, modern data architecture patterns
Technologies
SQL, Python, Spark, GitLab, Jenkins, Power BI
Responsibilities
Design and develop scalable ETL/ELT pipelines; Build and optimize batch and real-time data processing solutions; Implement data quality controls, testing frameworks, and monitoring; Apply engineering best practices including version control and CI/CD; Support platform upgrades, migrations, and production maintenance; Collaborate with stakeholders to translate business requirements into data solutions.
Seniority
Mid-level, hands-on IC
