Data Engineer, Specialist
Core
Design, build, and maintain scalable ETL/ELT pipelines and curated datasets to support reporting, dashboards, and analytics products.
Role type
Data Engineer
Builds
Cloud-based data solutions using AWS services
Domain
Financial services / Cloud data engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, ETL/ELT pipeline development, AWS cloud platforms, data modeling, data quality validation, Git version control, CI/CD deployment
Preferred skills
PySpark, Athena, Dremio, Parquet, Tableau, Power BI, Streamlit, Jira, GitHub, ServiceNow, AI/ML concepts, LLMs, agent-based tools
Technologies
AWS Glue, S3, Athena, PySpark, Dremio, Parquet, Tableau, Power BI, Streamlit, Jira, GitHub, ServiceNow
Responsibilities
Design and maintain scalable ETL/ELT pipelines; Develop curated datasets for reporting and analytics; Write and optimize SQL and Python code for transformation and automation; Implement data quality checks, validation rules, and monitoring; Troubleshoot pipeline issues and resolve data defects; Contribute to data lineage, governance, and documentation standards; Support evolution of reusable data products and self-service analytics
Seniority
Mid-level (3–5+ years experience), hands-on IC
