
Cloud Data Engineer
4 days ago
**Job Role**:Cloud Data Engineer - GCP Migration & Transformation Specialist
**Experience Level**:8+ years (with recent GCP project experience)
**Job Summary**:
**Key Responsibilities**:
- Design and implement scalable data pipelines using **GCP BigQuery**and **Cloud Composer**, following **Medallion architecture**principles.
- Lead **data model and data migrations**from on-premise platforms like **Teradata**and **Cloudera**to **BigQuery**, ensuring accuracy and performance.
- Develop **BigQuery SQL-based transformations**and standard **ELT conversion patterns**(e.g., pushdown optimization, partitioning strategies, staging layer design).
- Map legacy **Informatica workflows**and **Teradata BTEQ scripts**to **BigQuery SQL**-based ELT solutions.
- Migrate **Control-M workflows**to **GCP Cloud Composer**, ensuring orchestration compatibility and performance.
- Design **modular and reusable BigQuery pipeline patterns**applicable across multiple use cases.
- Collaborate with reporting teams to build dashboards and reports, ensuring **BigQuery data type compatibility**with tools such as **QlikSense**.
- Troubleshoot data pipeline issues, ensuring timely resolution and optimal system performance.
**Required Skills & Experience**:
- Strong working knowledge of **GCP services**, including **BigQuery**, **Cloud Composer**, and the overall **GCP data ecosystem**.
- Experience with **Medallion architecture**in a cloud-based data platform.
- Hands-on experience with **data migration and transformation projects**from **Teradata**, **Cloudera**, or similar on-premise systems to **GCP**.
- Proficiency in **BigQuery SQL**for advanced data transformation tasks.
- Familiarity with standard data engineering patterns such as **partitioning**, **staging**, **modularity**, and **pipeline reusability**.
- Experience in converting legacy **Informatica**and **BTEQ**workflows to cloud-native solutions.
- Experience with **QlikSense**or similar BI tools, including handling data type compatibility with BigQuery.
- Strong **debugging and issue resolution skills**in a cloud-based data environment.
- Experience with **data governance**, **data quality checks**, and **performance tuning**in BigQuery.
- Exposure to **CI/CD practices**and **infrastructure as code**(IaC) for pipeline deployments.
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