
Cloud Data Professional
2 days ago
Job Description
- Design and develop robust data architectures on cloud platforms, ensuring seamless data flow across systems.
- Collaborate with cross-functional teams to understand data requirements and deliver tailored solutions.
Key Responsibilities
- Develop and maintain ETL/ELT pipelines using Apache Spark, Airflow, or similar tools.
- Implement data governance and metadata management best practices.
- Automate data ingestion and transformation processes.
Requirements
- Proficiency in SQL and programming languages like Python or Scala.
- Experience with big data technologies (e.g., Hadoop, Spark & Kafka).
- Familiarity with data modeling, warehousing, and performance tuning.
Benefits
- Opportunity to work on complex data projects.
- Collaborative environment with expert engineers.
Others
- Continuous learning and skill development opportunities.
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