Data Engineer - Senior Analyst
Core
Design, build, and optimize scalable cloud-based data platforms and pipelines to create trusted, analytics-ready data for enterprise transformation programs.
Role type
Senior Data Engineer (Consulting)
Builds
Modern data platforms, ETL/ELT processes, and cloud-native data solutions for diverse clients.
Domain
Professional Services / Data Engineering / Cloud Modernization
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
Cloud data platform design, ETL/ELT development, SQL, Python, Spark, Data modeling, CI/CD, Infrastructure as Code, Data governance, Stakeholder engagement
Preferred skills
Experience with Azure, Microsoft Fabric, Databricks, Snowflake, Lakehouse architectures, AI-enabled development tools
Technologies
Azure Data Factory, Microsoft Fabric, Databricks, Snowflake, Azure, Python, Spark, SQL
Responsibilities
Partner with clients to translate business requirements into scalable data solutions; Design, build, and deploy modern data platforms and pipelines; Develop robust ETL/ELT processes to transform data from multiple sources; Build and optimize SQL, Python, and Spark solutions for analysis and automation; Analyze complex datasets to identify patterns and communicate insights to stakeholders; Contribute to data architecture, solution design, and delivery planning; Support data governance, metadata management, and data quality initiatives; Implement CI/CD practices and Infrastructure as Code; Troubleshoot platform, integration, and data quality issues.
Seniority
Senior, hands-on IC
