Senior Data Engineer - Analytics
Core
Design, build, and maintain robust ETL/ELT pipelines and data architectures to support large-scale analytics and decision-making for business partners.
Role type
Senior Data Engineer - Analytics
Builds
Scalable data platforms, ETL/ELT pipelines, and Power BI dashboards
Domain
Financial services / Data Engineering & Analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SAS, SQL, Power BI (DAX, M Code), SQL Server configuration, dimensional modeling, AWS (Redshift, Glue), data architecture
Preferred skills
Java, JavaScript, AI/ML workflows, data security best practices
Technologies
AWS, Redshift, Glue, Power BI, DAX, M Code, SQL Server, Python, SAS, SQL, Power Automate, SharePoint, OneDrive, Office, Hadoop, Spark, NoSQL, JSON, IBM
Responsibilities
Design and maintain ETL/ELT pipelines for data ingestion and transformation; Optimize SQL Server environments for high-throughput analytical applications; Develop and sustain Power BI dashboards for actionable insights; Implement incremental loads and CDC strategies; Collaborate with stakeholders to drive data-informed strategies; Manage SQL Server recovery models and backup/restore strategies.
Seniority
Senior, hands-on IC