
Senior Data Solutions Architect
2 days ago
As a data engineer, you will be responsible for designing and developing scalable and efficient data solutions to meet the organization's data requirements. You will work closely with cross-functional teams to understand the data needs and deliver reliable data solutions.
- Key Responsibilities:
- Design and develop data pipelines using various tools like Data Proc, Pub/Sub, and Dataflow.
- Work with Kalka Streaming and Looker for real-time data processing and visualization.
- Develop and maintain data integration and warehousing solutions.
- Write and optimize complex SQL queries, especially in BigQuery.
- Implement cloud-native services like bucket storage, BigQuery, cloud functions, pub/sub, composer, and Kubernetes.
- Collaborate with teams to understand data requirements and propose optimal solutions.
- Conduct performance tuning of BigQuery SQL scripts.
- Apply expertise in shell scripting, Python, and Oracle SQL to support data operations.
- Automate CI/CD pipelines using tools like Control-M, GitHub, JIRA, and Confluence.
The ideal candidate should possess the following skills and qualifications:
- Proficiency in Google BigQuery and strong SQL skills.
- Expertise in cloud-native services and data integration and migration.
- Familiarity with tools like Looker, pytest, Pandas, NumPy, and CI/CD pipeline tools.
This role offers the opportunity to work independently as an individual contributor in Shift B and collaborate across multiple teams to contribute effectively.
Others:Candidates are expected to have good communication and interpersonal skills, analytical and problem-solving skills, and capacity to work independently or in team environments.
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