Data Engineering and Data Analyst (exp in SAP Data)

Role: Data Engineering and Data Analyst (exp in SAP Data)

Location: Boston MA

Type: Contract

Duration: 6-12 months 

Below are mandatory skills

• Google Big Query and/or Snowflake
• SAP Data
• Experience with at least one BI tool: Looker Tableau or Qlik Sense (multi-tool experience preferred).

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.
2. Design curated datasets and semantic-ready tables/views; improve query performance (partitioning/clustering pruning aggregation strategies).
3. Set up data observability: load monitoring failure alerts and incident/runbook documentation.
4. 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.
2. Build and optimize dashboards in Looker/Tableau/Qlik Sense with strong usability performance and governance.
3. Enable self-service: certified datasets standardized dimensions/measures consistent metric definitions.
4. 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.
2. Experience with at least one BI tool: Looker Tableau or Qlik Sense (multi-tool experience preferred).
3. Experience working with SAP data.
4. Solid data modeling fundamentals (dimensional modeling metric grain conformed dimensions).
5. Experience with pipeline/orchestration concepts (scheduling retries idempotency incremental loading).
6. Strong stakeholder management skills; can drive clarity and deliver iteratively.

Regards

Manoj

Derex Technologies INC

Contact : Ext 206

Additional Information :

All your information will be kept confidential according to EEO guidelines.

Remote Work :

No

Employment Type :

Full-time