Related skills
bigquery terraform snowflake sql python📋 Description
- Lead hands-on data engineering to build scalable data infrastructure.
- Define standards for pipelines, transformations, and CRM integrations across clouds.
- Architect data models, governance, and analytics-ready datasets.
- Manage and mentor engineers; provide technical leadership.
- Collaborate with clients and stakeholders to turn tech into business value.
- Drive practice direction and adoption of modern data stacks.
🎯 Requirements
- Extensive hands-on data engineering: production pipelines and warehouses.
- Proficient with dbt, Airflow, Terraform; ELT/ETL stacks.
- Strong SQL and Python; Git, CI/CD, testing.
- Architect data models with quality and governance focus.
- Communicate trade-offs to clients and stakeholders.
- Mentor and lead data engineers; drive team growth.
- Familiar with CRM data platforms (Salesforce Data Cloud, Adobe AEP).
- Cloud stack: GCP, BigQuery, Snowflake, Azure.
🎁 Benefits
- Hybrid work environment with MAP team.
- Opportunity to shape data practice and growth.
- Work with world-leading brands on transformative projects.
- Mentorship and leadership development.
- Global, diverse team across 55+ nationalities.
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