Cloud Data Engineer

Job Role: Cloud Data Engineer – GCP Migration & Transformation Specialist

Experience Level: 8+ years (with recent GCP project experience)

Job Summary:

We are looking for a skilled Data Engineer with strong experience in Google Cloud Platform (GCP) and enterprise data migrations. The ideal candidate will have a deep understanding of the GCP data landscape, Medallion architecture, and hands-on experience in migrating data models and ETL pipelines from on-premise platforms such as Teradata and Cloudera to GCP BigQuery.

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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