Experienced Data Engineer
Core
Design and optimize ETL/ELT workflows and data models to translate business requirements into scalable data solutions for clients and internal teams.
Role type
Senior Data Engineer
Builds
Data pipelines, data models, and data-driven solutions
Domain
Financial services / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, ETL/ELT workflow design, data modeling, Azure Data Factory, Databricks, data integration and orchestration
Preferred skills
Modern data tools (dlt, Stitch, dbt, SQLMesh, Airflow, Dagster), cloud platforms (Azure, AWS), streaming/real-time data processing, AI-enabled development tools, large dataset handling
Technologies
Azure Data Factory, Databricks, Azure, AWS, dbt, Airflow, Dagster, SQLMesh, Stitch, dlt
Responsibilities
Collaborate with data engineers, visualization specialists, and business analysts; Analyze source data to identify relationships, hierarchies, patterns, and trends; Define solution architecture and select appropriate technologies; Develop and optimize data models; Document findings and share best practices
Seniority
Senior, hands-on IC
