
GCP Data Engineer
2 weeks ago
Cloud Engineering Expert
Key Responsibilities:
- Design, develop and maintain large-scale data pipelines using GCP tools.
- Construct complex datasets to meet business needs.
- Translate business requirements into clear technical specifications.
- Leverage various GCP services including Big Query, Cloud Dataflow, Cloud Run, Cloud Functions, Pub/Sub and Cloud Composer to build integrated systems.
- Orchestrate workflows using Cloud Composer.
- Work with SAP SLT to replicate SAP data to Google Cloud.
- Implement DevOps and CI/CD practices to ensure pipeline reliability and scalability.
- Ensure data security and governance using IAM roles, policies and data masking techniques.
- Monitor pipelines using logs and alerts to proactively manage performance.
- Recommend improvements to enhance data quality, reliability and efficiency.
Requirements:
- GCP Services:
- Big Query
- Cloud Dataflow (Apache Beam)
- Cloud Run, Cloud Functions, Cloud Storage
- Pub/Sub, Cloud Composer (Apache Airflow)
- Experience with Change Data Capture (CDC) and data streaming is a plus.
- Technical Skills:
- Proficiency in Python and SQL.
- Experience with structured ERP solutions like SAP, Oracle EBS and Salesforce.
- A strong understanding of file formats including CSV, JSON, XML, Parquet, ORC and Avro.
- Knowledge of Data Lake concepts.
- Experience with API development and consumption (REST and SOAP).
- Data Security & Governance:
- Ability to implement IAM best practices (least privilege, service accounts).
- Familiarity with data masking and anonymization techniques.
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