Data Engineering and Data Analyst (exp in SAP Data)

Role: Data Engineering and Data Analyst (exp in SAP Data) Location: Boston, MA (Hybrid) Type: Contract Duration:6-12 months Role summary: Consultant will work across Google Big Query and/or Snowflake to develop analytics-ready datasets and power dashboards in Looker, Tableau, and/or Qlik Sense. Responsibilities Data engineering 1. Build and maintain pipelines from SaaS tools, operational databases, APIs, and flat files into BigQuery/Snowflake. 1. Design curated datasets and semantic-ready tables/views; improve query performance (partitioning/clustering, pruning, aggregation strategies). 1. Set up data observability: load monitoring, failure alerts, and incident/runbook documentation. 1. Troubleshoot pipeline failures and data discrepancies; conduct root-cause analysis and remediation. Analytics 1. Gather requirements, define metrics/KPIs, and translate business needs into trusted reporting. 1. Build and optimize dashboards in Looker/Tableau/Qlik Sense with strong usability, performance, and governance. 1. Enable self-service: certified datasets, standardized dimensions/measures, consistent metric definitions. 1. Provide ad-hoc analysis and recommendations; communicate insights clearly to stakeholders. Required qualifications 1. Strong SQL and hands-on experience with BigQuery and/or Snowflake. 1. Experience with at least one BI tool: Looker, Tableau, or Qlik Sense (multi-tool experience preferred). 1. Experience working with SAP data. 1. Solid data modeling fundamentals (dimensional modeling, metric grain, conformed dimensions). 1. Experience with pipeline/orchestration concepts (scheduling, retries, idempotency, incremental loading). 1. Strong stakeholder management skills; can drive clarity and deliver iteratively.