
Chief Data Architect
2 weeks ago
Job Summary:
">We are seeking a highly skilled Data Engineer to join our team. This individual will be responsible for designing, building, and maintaining large-scale data pipelines using Google Cloud technologies.
">Key Responsibilities:
">- ">
- Develop data acquisition pipelines for structured and unstructured data in Google Cloud.">
- Build complex datasets based on business requirements.">
- Design and implement 'big data' pipeline architecture.">
- Identify opportunities for data acquisition through collaboration with stakeholders and business clients.">
- Translate business needs into technical requirements.">
- Leverage tools such as Python, Data Flow, DataStream, CDC, Cloud Functions, Cloud Run, Pub Sub, BigQuery, Cloud Storage to integrate systems and data pipelines.">
- Use logs and alerts to effectively monitor pipelines.">
- Use SAP SLT to replicate SAP tables to Google Cloud using SLT.">
- Develop JSON messaging structure for integrating with various applications.">
- Implement DevOps and CI/CD practices (GitHub, Terraform) to ensure the reliability and scalability of data pipelines.">
- Partition and retrieve content in Big Query and use IAM roles and Policy Tags to secure the data.">
- Use roles to secure access to datasets and authorized views to share data between projects.">
- Design and build an ingestion pipeline using Rest API.">
- Recommend ways to improve data quality, reliability, and efficiency.">
Requirements:
">- ">
- 5-7 years of experience in a data engineering role with core GCP experience of 3-4 years.">
- Ability to work in US time zones with occasional extended hours.">
Benefits:
">This is an excellent opportunity to work with cutting-edge technologies and contribute to the growth of our organization.
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