Data Engineer
Core
Design, develop, and manage data pipelines and integration processes for Financial Services clients, ensuring data quality and supporting reporting.
Role type
Mid-level Data Engineer (Consulting)
Builds
Scalable data architectures and data-driven solutions for financial services clients
Domain
Financial Services / Consulting (via careerplan.io/jobs/7953752-data-engineer-at-capco)
Required skills
Data pipeline design, ETL/ELT processes, SQL, relational databases, data warehousing, cloud platforms, data modeling
Preferred skills
Big data technologies, distributed data processing, AWS/Azure/GCP, data visualization tools, PySpark, Databricks, data governance frameworks
Technologies
SQL, Cloud platforms, PySpark, Databricks, DataFactory, Power BI, Tableau
Responsibilities
Interact with Cloud infrastructures and integrate multiple Cloud tools; Collect, process, and transform large volumes of structured and unstructured data; Collaborate with stakeholders to translate business requirements into data-driven solutions; Monitor and troubleshoot data pipelines; Support data governance and compliance initiatives; Prepare datasets for reporting and analytics.
Seniority
Mid-level, hands-on IC
