
Lead Data Specialist
8 hours ago
Key responsibilities for this position include developing, constructing, testing, and maintaining large-scale data acquisition pipelines.
- Design, implement, and maintain data ingestion systems to collect structured and unstructured data from various sources.
- Develop and manage complex datasets based on business requirements.
- Build scalable data pipeline architectures.
- Collaborate with stakeholders and business clients to identify opportunities for data acquisition.
- Translate business needs into technical requirements.
Proficiency in the Google Cloud Ecosystem, including Python, Data Flow, DataStream, CDC (Change Data Capture), Cloud Functions, Cloud Run, Pub Sub, BigQuery, and Cloud Storage is expected. Additionally, knowledge of DevOps and CI/CD practices, such as GitHub and Terraform is necessary.
The successful candidate will be responsible for designing and building efficient data ingestion pipelines, recommending ways to improve data quality, reliability, and efficiency, and ensuring the scalability of data pipelines.
Key SkillsRequired skills and qualifications include:
- Programming skills in languages like Python.
- Experience with data processing frameworks like Data Flow and DataStream.
- Familiarity with cloud-based storage solutions like Cloud Storage.
- Knowledge of data warehousing and big data technologies.
- Understanding of data modeling and database design principles.
As a member of our team, you can expect:
- A dynamic work environment with opportunities for growth and professional development.
- Collaborative teams working towards common goals.
- Flexible working arrangements to support work-life balance.
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