
Senior Data Architect
2 weeks ago
About the Role:
We are seeking a seasoned Senior Data Architect to join our team. The ideal candidate will have extensive experience in designing and implementing large-scale data systems.
The role requires strong technical expertise, excellent communication skills, and the ability to collaborate with cross-functional teams.
Key Responsibilities:
- Data System Design: Develop and maintain scalable and secure data pipelines and infrastructure on GCP.
- ETL Processes: Design and implement Extract, Transform, Load (ETL) processes using tools like Python and PySpark.
- Data Governance: Implement data governance policies, security best practices, and access control within GCP.
- Data Quality: Ensure data quality through testing, validation, and monitoring of data pipelines.
- Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
Requirements:
Technical Skills:
- Strong proficiency in Python, SQL, and Java.
- Hands-on experience with BigQuery, Dataflow, Cloud Storage, and other relevant GCP services.
- Familiarity with Hadoop, Spark, or Kafka is highly desirable.
- Experience with data warehousing and data modeling techniques.
- Excellent analytical and problem-solving skills.
Soft Skills:
- Ability to communicate effectively with technical and non-technical audiences.
- Strong collaboration and teamwork skills.
- Excellent time management and organization skills.
About Us:
We offer a dynamic and challenging work environment that encourages innovation and creativity. We believe in investing in our employees' growth and development and provide opportunities for professional growth and advancement.
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