Data Engineer
Nemetschek SE (company site, opens in a new tab)6–10 yrsHyderabadHybridDirect career pageEst. 20–35 LPA
Posted 18h ago
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Job description
Structured overview of role & requirements
About This Role
- Own ELT pipelines and Bronze/Silver/Gold data layers in BigQuery, delivering reliable, analytics-ready data for BI and business stakeholders.
- Build and operate Dataform models and Datastream CDC pipelines, including incremental processing, data quality checks, and schema changes.
- Manage GCP data infrastructure and delivery workflows; optimize BigQuery performance and costs, monitor pipelines, and resolve production failures.
Minimum Requirements
- Work Experience Required: 6–10 years in Data Engineering.
- Strong hands-on GCP and BigQuery experience; production experience with Dataform/SQLX, incremental models, assertions, and dependency management.
- Advanced SQL, BigQuery architecture, dimensional modeling, and cost optimization; working knowledge of Datastream and CDC.
- Experience with Terraform, GitHub, and CI/CD practices. Work arrangement: Hybrid is indicated; specific location is not explicitly mentioned in the JD.
Ideal Candidate Profile
- Has production ownership of GCP-based analytics data platforms, spanning modeling, ingestion, infrastructure, deployment, and operational support.
- Can design performant, cost-aware BigQuery models and dependable CDC/incremental pipelines, including handling updates, deletes, and schema evolution.
- Fits a role working across BI and business stakeholders while maintaining data quality, security, governance, and production reliability.